[

Dataset statistics

Number of variables123
Number of observations27251
Missing cells1693664
Missing cells (%)50.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.6 MiB
Average record size in memory984.0 B

Variable types

CAT61
BOOL39
NUM12
UNSUPPORTED8
DATE3

Warnings

YEAR has constant value "27251" Constant
VIRTUAL_EVENT_ENGAGEMENT_COUNT has constant value "27251" Constant
APPLICATION_COMMON_APP_ID has a high cardinality: 27112 distinct values High cardinality
PERSON_CU_SIS_ID has a high cardinality: 27235 distinct values High cardinality
PERSON_BIRTHDATE has a high cardinality: 977 distinct values High cardinality
ADDRESS_STREET_COMBINED has a high cardinality: 26923 distinct values High cardinality
ADDRESS_CITY has a high cardinality: 3329 distinct values High cardinality
ADDRESS_COUNTY has a high cardinality: 796 distinct values High cardinality
ADDRESS_REGION has a high cardinality: 164 distinct values High cardinality
ADDRESS_POSTAL has a high cardinality: 26306 distinct values High cardinality
ADDRESS_US_5_DIGIT_ZIP_CODE has a high cardinality: 5479 distinct values High cardinality
ADDRESS_COUNTRY has a high cardinality: 63 distinct values High cardinality
PERSON_HS_GPA_SR has a high cardinality: 3410 distinct values High cardinality
1_HIGH_SCHOOL_CEEB_CODE has a high cardinality: 5261 distinct values High cardinality
1_HIGH_SCHOOL_NAME has a high cardinality: 6942 distinct values High cardinality
1_HIGH_SCHOOL_REGION has a high cardinality: 87 distinct values High cardinality
1_HIGH_SCHOOL_CITY has a high cardinality: 3837 distinct values High cardinality
APPLICATION_ORIGINAL_ACADEMIC_INTEREST has a high cardinality: 78 distinct values High cardinality
APPLICATION_SUBMITTED_DATE has a high cardinality: 272 distinct values High cardinality
ADMIT_DECISION_RELEASED_DATE has a high cardinality: 255 distinct values High cardinality
ADMIT_DECISION_RECEIVED_DATE has a high cardinality: 9469 distinct values High cardinality
DEPOSIT_DECISION_CONFIRMED_DATE has a high cardinality: 4155 distinct values High cardinality
PAST_APP_HISTORY has a high cardinality: 192 distinct values High cardinality
HS_CITY_LOCATION has a high cardinality: 2139 distinct values High cardinality
HS_NCES_ID has a high cardinality: 4325 distinct values High cardinality
HS_NAME has a high cardinality: 4062 distinct values High cardinality
HS_STATE has a high cardinality: 51 distinct values High cardinality
HS_ZIP has a high cardinality: 3139 distinct values High cardinality
HS_ADDRESS has a high cardinality: 3476 distinct values High cardinality
HS_CEEB has a high cardinality: 4335 distinct values High cardinality
PERSON_MULTIPLE_APPLICATIONS has 26667 (97.9%) missing values Missing
ETHNICITY has 392 (1.4%) missing values Missing
ADDRESS_COUNTY has 362 (1.3%) missing values Missing
PERSON_HOME_SCHOOL has 27228 (99.9%) missing values Missing
PERSON_ACT_MAX_COMPOSITE has 12281 (45.1%) missing values Missing
PERSON_SATI_MAX_TOTAL has 27161 (99.7%) missing values Missing
PERSON_SATR_MAX_COMPS has 10034 (36.8%) missing values Missing
PERSON_24_OR_MORE_HOURS_COLLEGE_WORK has 26363 (96.7%) missing values Missing
PERSON_APPLICANT_FIRST_GENERATION has 23656 (86.8%) missing values Missing
PARENT_CU_ATTENDANCE has 27050 (99.3%) missing values Missing
PARENT_CU_EMPLOYMENT has 27005 (99.1%) missing values Missing
PERSON_ENGLISH_NATIVE_LANGUAGE has 26447 (97.0%) missing values Missing
PERSON_NATIVE_LANGUAGE has 942 (3.5%) missing values Missing
PERSON_GROSS_FAMILY_INCOME has 9327 (34.2%) missing values Missing
PERSON_FAFSA_SUBMITTED has 9255 (34.0%) missing values Missing
PERSON_MILITARY_STATUS has 27194 (99.8%) missing values Missing
PERSON_HS_RANK_PERCENTILE has 16774 (61.6%) missing values Missing
PERSON_HS_EQUIVALENCY has 27231 (99.9%) missing values Missing
PERSON_CUMULATIVE_GPA has 24678 (90.6%) missing values Missing
PERSON_HS_GPA_SR has 10547 (38.7%) missing values Missing
1_HIGH_SCHOOL_REGION has 349 (1.3%) missing values Missing
1_HIGH_SCHOOL_HONORS has 27251 (100.0%) missing values Missing
CUB_IS__1_CHOICE has 19485 (71.5%) missing values Missing
APPLICATION_CU_SIS_APP_MATRICULATED has 20344 (74.7%) missing values Missing
ADMIT_DECISION_RECEIVED_DATE has 6055 (22.2%) missing values Missing
DEPOSIT_DECISION_CONFIRMED_DATE has 20126 (73.9%) missing values Missing
APPLICATION_HOUSING_APPLICATION_COMPLETED has 20730 (76.1%) missing values Missing
PAST_APP_HISTORY has 26662 (97.8%) missing values Missing
PERSON_ENGAGEMENT has 26169 (96.0%) missing values Missing
MOST_RECENT_ON_CAMPUS_EVENT has 20662 (75.8%) missing values Missing
DATE_MOST_RECENT_ON_CAMPUS_EVENT has 20662 (75.8%) missing values Missing
DEPOSIT_PAID_CREATED_DATE has 20126 (73.9%) missing values Missing
CURRENT_BIN_NAME has 27251 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION has 27245 (> 99.9%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE has 27251 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT has 27251 (100.0%) missing values Missing
RELATION_SIBLING_HIGHEST_EDUCATION has 27191 (99.8%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT has 27185 (99.8%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE has 27182 (99.7%) missing values Missing
RELATION_STEP_PARENT_HIGHEST_EDUCATION has 27240 (> 99.9%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE has 27239 (> 99.9%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT has 27239 (> 99.9%) missing values Missing
RELATION_GRANDPARENT_HIGHEST_EDUCATION has 27247 (> 99.9%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT has 27247 (> 99.9%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE has 27247 (> 99.9%) missing values Missing
APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC has 27251 (100.0%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT has 27239 (> 99.9%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT has 27206 (99.8%) missing values Missing
PERSON_YEARS_LIVED_IN_U_S has 27251 (100.0%) missing values Missing
PERSON_YEARS_LIVED_OUTSIDE_U_S has 27191 (99.8%) missing values Missing
APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR has 27180 (99.7%) missing values Missing
APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR has 26925 (98.8%) missing values Missing
APPLICATION_BAKER_SCHOLAR has 25950 (95.2%) missing values Missing
APPLICATION_CHANCELLOR_SCHOLAR has 20247 (74.3%) missing values Missing
APPLICATION_DEAN_SCHOLAR has 26902 (98.7%) missing values Missing
APPLICATION_HALE_SCHOLAR has 26667 (97.9%) missing values Missing
APPLICATION_IMPACT_SCHOLARSHIP has 27136 (99.6%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_ADMIT has 27170 (99.7%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_APPLICANT has 27144 (99.6%) missing values Missing
APPLICATION_MUSIC_SCHOLARSHIP has 27251 (100.0%) missing values Missing
APPLICATION_PRESIDENTIAL_SCHOLAR has 26313 (96.6%) missing values Missing
APPLICATION_REGENT_SCHOLARSHIP has 26950 (98.9%) missing values Missing
APPLICATION_SEWALL_SCHOLAR has 26386 (96.8%) missing values Missing
APPLICATION_EXCEL has 26845 (98.5%) missing values Missing
APPLICATION_ADMITTED_FROM_WAITLIST has 26838 (98.5%) missing values Missing
PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS has 27167 (99.7%) missing values Missing
PERSON_PRE_COLLEGIATE_RURAL has 27251 (100.0%) missing values Missing
PERSON_PRE_COLLEGIATE_WESTERN_SLOPE has 27217 (99.9%) missing values Missing
PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS has 27215 (99.9%) missing values Missing
PERSON_DANIEL_S_SCHOLAR has 27179 (99.7%) missing values Missing
PERSON_ENGINEARME has 27223 (99.9%) missing values Missing
HS_CITY_LOCATION has 6933 (25.4%) missing values Missing
HS_TOT_ENROLLMENT has 2925 (10.7%) missing values Missing
HS_NCES_ID has 2921 (10.7%) missing values Missing
HS_NAME has 2921 (10.7%) missing values Missing
HS_TYPE has 2921 (10.7%) missing values Missing
HS_STATE has 6933 (25.4%) missing values Missing
HS_TEACHERS_FTE has 2966 (10.9%) missing values Missing
HS_URBAN_CENTRIC_LOCALE_CODE has 2921 (10.7%) missing values Missing
HS_ZIP has 6933 (25.4%) missing values Missing
HS_ADDRESS has 6933 (25.4%) missing values Missing
HS_TYPE_VALUE has 2921 (10.7%) missing values Missing
HS_CLASSIFICATION has 2921 (10.7%) missing values Missing
HS_CEEB has 2921 (10.7%) missing values Missing
TOTAL_PING_TIME__SEC is highly skewed (γ1 = 22.44383639) Skewed
df_index has unique values Unique
PERSON_REFERENCE_ID has unique values Unique
1_HIGH_SCHOOL_HONORS is an unsupported type, check if it needs cleaning or further analysis Unsupported
CURRENT_BIN_NAME is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_YEARS_LIVED_IN_U_S is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_MUSIC_SCHOLARSHIP is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_PRE_COLLEGIATE_RURAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
TOTAL_PING_TIME__SEC has 3059 (11.2%) zeros Zeros
ON_CAMPUS_ENGAGEMENT_COUNT has 20662 (75.8%) zeros Zeros

Reproduction

Analysis started2020-11-02 21:14:27.363444
Analysis finished2020-11-02 21:14:31.835861
Duration4.47 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml
,

df_index
Real number (&Ropf≥0)

UNIQUE

Distinct27251
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18709.46483
Minimum0
Maximum35376
Zeros1
Zeros (%)< 0.1%
Memory size212.9 KiB
2020-11-02T14:14:31.939837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2110.5
Q111668.5
median19967
Q326953.5
95-th percentile32608.5
Maximum35376
Range35376
Interquartile range (IQR)15285

Descriptive statistics

Standard deviation9756.14622
Coefficient of variation (CV)0.5214551197
Kurtosis-1.084954487
Mean18709.46483
Median Absolute Deviation (MAD)7525
Skewness-0.2829856217
Sum509851626
Variance95182389.07
MonotocityStrictly increasing
2020-11-02T14:14:32.136085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
40941< 0.1%
 
279431< 0.1%
 
13221< 0.1%
 
33711< 0.1%
 
136121< 0.1%
 
156611< 0.1%
 
218241< 0.1%
 
238731< 0.1%
 
177301< 0.1%
 
197791< 0.1%
 
Other values (27241)27241> 99.9%
 
ValueCountFrequency (%) 
01< 0.1%
 
21< 0.1%
 
51< 0.1%
 
71< 0.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
353761< 0.1%
 
346911< 0.1%
 
346791< 0.1%
 
346691< 0.1%
 
346681< 0.1%
 

APPLICATION_COMMON_APP_ID
Categorical

HIGH CARDINALITY

Distinct27112
Distinct (%)100.0%
Missing139
Missing (%)0.5%
Memory size212.9 KiB
19173861-2018
 
1
18008313-2018
 
1
17643325-2018
 
1
17238358-2018
 
1
19765411-2018
 
1
Other values (27107)
27107 
ValueCountFrequency (%) 
19173861-20181< 0.1%
 
18008313-20181< 0.1%
 
17643325-20181< 0.1%
 
17238358-20181< 0.1%
 
19765411-20181< 0.1%
 
18929898-20181< 0.1%
 
18952381-20181< 0.1%
 
18916394-20181< 0.1%
 
17604327-20181< 0.1%
 
18718147-20181< 0.1%
 
Other values (27102)2710299.5%
 
(Missing)1390.5%
 
2020-11-02T14:14:32.359311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27112 ?
Unique (%)100.0%

PERSON_REFERENCE_ID
Categorical

UNIQUE

Distinct27251
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
130647818
 
1
465186811
 
1
404945953
 
1
852827910
 
1
909812503
 
1
Other values (27246)
27246 
ValueCountFrequency (%) 
1306478181< 0.1%
 
4651868111< 0.1%
 
4049459531< 0.1%
 
8528279101< 0.1%
 
9098125031< 0.1%
 
3680225401< 0.1%
 
4545781431< 0.1%
 
3092621321< 0.1%
 
8095347431< 0.1%
 
1304657371< 0.1%
 
Other values (27241)27241> 99.9%
 
2020-11-02T14:14:32.731966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27251 ?
Unique (%)100.0%

PERSON_CU_SIS_ID
Categorical

HIGH CARDINALITY

Distinct27235
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
nan
 
17
109223944.0
 
1
109054888.0
 
1
107548605.0
 
1
109220434.0
 
1
Other values (27230)
27230 
ValueCountFrequency (%) 
nan170.1%
 
109223944.01< 0.1%
 
109054888.01< 0.1%
 
107548605.01< 0.1%
 
109220434.01< 0.1%
 
108692539.01< 0.1%
 
109303135.01< 0.1%
 
109169980.01< 0.1%
 
107560587.01< 0.1%
 
109215772.01< 0.1%
 
Other values (27225)2722599.9%
 
2020-11-02T14:14:32.947326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27234 ?
Unique (%)99.9%

YEAR
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
2018
27251 
ValueCountFrequency (%) 
201827251100.0%
 
2020-11-02T14:14:33.088825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_FINAL_TERM
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
2018 Fall
27078 
2018 Sum
 
117
2018 Spr
 
56
ValueCountFrequency (%) 
2018 Fall2707899.4%
 
2018 Sum1170.4%
 
2018 Spr560.2%
 
2020-11-02T14:14:33.205024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_APPLIED_TERM
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
2018 Fall
27057 
2018 Sum
 
124
2018 Spr
 
70
ValueCountFrequency (%) 
2018 Fall2705799.3%
 
2018 Sum1240.5%
 
2018 Spr700.3%
 
2020-11-02T14:14:33.326537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RESIDENCY_STATUS
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
Non-Resident
19443 
Resident
7802 
Non-Resident International
 
6
ValueCountFrequency (%) 
Non-Resident1944371.3%
 
Resident780228.6%
 
Non-Resident International6< 0.1%
 
2020-11-02T14:14:33.449946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_MULTIPLE_APPLICATIONS
Boolean

MISSING

Distinct1
Distinct (%)0.2%
Missing26667
Missing (%)97.9%
Memory size212.9 KiB
1
 
584
(Missing)
26667 
ValueCountFrequency (%) 
15842.1%
 
(Missing)2666797.9%
 

PERSON_SEX
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
F
13993 
M
13258 
ValueCountFrequency (%) 
F1399351.3%
 
M1325848.7%
 
2020-11-02T14:14:33.575739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ETHNICITY
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing392
Missing (%)1.4%
Memory size212.9 KiB
White
19602 
Hispanic
3675 
Asian
2609 
Black or African American
 
476
American Indian or Alaska Native
 
339
ValueCountFrequency (%) 
White1960271.9%
 
Hispanic367513.5%
 
Asian26099.6%
 
Black or African American4761.7%
 
American Indian or Alaska Native3391.2%
 
Native Hawaiian or Other Pacific Islander1580.6%
 
(Missing)3921.4%
 
2020-11-02T14:14:33.708601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_BIRTHDATE
Categorical

HIGH CARDINALITY

Distinct977
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
2000-02-25
 
108
1999-12-14
 
103
2000-03-16
 
99
2000-03-08
 
98
2000-04-19
 
96
Other values (972)
26747 
ValueCountFrequency (%) 
2000-02-251080.4%
 
1999-12-141030.4%
 
2000-03-16990.4%
 
2000-03-08980.4%
 
2000-04-19960.4%
 
2000-05-05950.3%
 
1999-11-23950.3%
 
2000-05-23950.3%
 
2000-04-18940.3%
 
2000-03-01930.3%
 
Other values (967)2627596.4%
 
2020-11-02T14:14:33.870819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique227 ?
Unique (%)0.8%

ADDRESS_STREET_COMBINED
Categorical

HIGH CARDINALITY

Distinct26923
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
nan
 
85
6135 N Campbell Ave
 
3
3930 S Rifle Ct
 
3
4415 Hidden Rock Rd
 
3
3473 Rich Field Dr
 
2
Other values (26918)
27155 
ValueCountFrequency (%) 
nan850.3%
 
6135 N Campbell Ave3< 0.1%
 
3930 S Rifle Ct3< 0.1%
 
4415 Hidden Rock Rd3< 0.1%
 
3473 Rich Field Dr2< 0.1%
 
577 Drake St2< 0.1%
 
14719 E Navarro Pl2< 0.1%
 
73 Crabapple Ct2< 0.1%
 
8153 Calle Catalonia2< 0.1%
 
245 Stagecoach Dr2< 0.1%
 
Other values (26913)2714599.6%
 
2020-11-02T14:14:34.084211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique26681 ?
Unique (%)97.9%

ADDRESS_CITY
Categorical

HIGH CARDINALITY

Distinct3329
Distinct (%)12.3%
Missing86
Missing (%)0.3%
Memory size212.9 KiB
Denver
 
1033
Colorado Springs
 
529
Aurora
 
515
Boulder
 
442
Highlands Ranch
 
407
Other values (3324)
24239 
ValueCountFrequency (%) 
Denver10333.8%
 
Colorado Springs5291.9%
 
Aurora5151.9%
 
Boulder4421.6%
 
Highlands Ranch4071.5%
 
Littleton3641.3%
 
Centennial2981.1%
 
Austin2851.0%
 
Longmont2601.0%
 
Fort Collins2550.9%
 
Other values (3319)2277783.6%
 
2020-11-02T14:14:34.252820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1441 ?
Unique (%)5.3%

ADDRESS_COUNTY
Categorical

HIGH CARDINALITY
MISSING

Distinct796
Distinct (%)3.0%
Missing362
Missing (%)1.3%
Memory size212.9 KiB
Arapahoe
 
1162
Los Angeles
 
1076
Douglas
 
1074
Boulder
 
1071
Jefferson
 
1009
Other values (791)
21497 
ValueCountFrequency (%) 
Arapahoe11624.3%
 
Los Angeles10763.9%
 
Douglas10743.9%
 
Boulder10713.9%
 
Jefferson10093.7%
 
Denver8983.3%
 
Orange8903.3%
 
Cook7402.7%
 
El Paso6522.4%
 
Santa Clara5862.2%
 
Other values (786)1773165.1%
 
2020-11-02T14:14:34.425246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique218 ?
Unique (%)0.8%

ADDRESS_REGION
Categorical

HIGH CARDINALITY

Distinct164
Distinct (%)0.6%
Missing145
Missing (%)0.5%
Memory size212.9 KiB
CO
7881 
CA
5488 
IL
1528 
TX
1517 
NY
 
791
Other values (159)
9901 
ValueCountFrequency (%) 
CO788128.9%
 
CA548820.1%
 
IL15285.6%
 
TX15175.6%
 
NY7912.9%
 
WA7902.9%
 
MA7112.6%
 
FL6442.4%
 
NJ6282.3%
 
PA4901.8%
 
Other values (154)663824.4%
 
2020-11-02T14:14:34.606782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique71 ?
Unique (%)0.3%

ADDRESS_POSTAL
Categorical

HIGH CARDINALITY

Distinct26306
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
nan
 
128
81632
 
13
81620
 
10
81615
 
10
81631
 
9
Other values (26301)
27081 
ValueCountFrequency (%) 
nan1280.5%
 
8163213< 0.1%
 
8162010< 0.1%
 
8161510< 0.1%
 
816319< 0.1%
 
804247< 0.1%
 
000007< 0.1%
 
920675< 0.1%
 
816375< 0.1%
 
80111-52904< 0.1%
 
Other values (26296)2705399.3%
 
2020-11-02T14:14:34.831321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique25586 ?
Unique (%)93.9%

ADDRESS_US_5_DIGIT_ZIP_CODE
Categorical

HIGH CARDINALITY

Distinct5479
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
nan
 
334
80016.0
 
213
80126.0
 
212
80027.0
 
180
80134.0
 
162
Other values (5474)
26150 
ValueCountFrequency (%) 
nan3341.2%
 
80016.02130.8%
 
80126.02120.8%
 
80027.01800.7%
 
80134.01620.6%
 
80111.01540.6%
 
80503.01400.5%
 
80304.01310.5%
 
80020.01270.5%
 
80108.01270.5%
 
Other values (5469)2547193.5%
 
2020-11-02T14:14:35.165657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2451 ?
Unique (%)9.0%

ADDRESS_COUNTRY
Categorical

HIGH CARDINALITY

Distinct63
Distinct (%)0.2%
Missing85
Missing (%)0.3%
Memory size212.9 KiB
United States
26917 
India
 
40
United Kingdom
 
19
United Arab Emirates
 
11
China
 
10
Other values (58)
 
169
ValueCountFrequency (%) 
United States2691798.8%
 
India400.1%
 
United Kingdom190.1%
 
United Arab Emirates11< 0.1%
 
China10< 0.1%
 
Mexico8< 0.1%
 
Saudi Arabia8< 0.1%
 
Hong Kong S.A.R.8< 0.1%
 
Kuwait8< 0.1%
 
Singapore7< 0.1%
 
Other values (53)1300.5%
 
(Missing)850.3%
 
2020-11-02T14:14:35.337176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique21 ?
Unique (%)0.1%

PERSON_HOME_SCHOOL
Boolean

MISSING

Distinct1
Distinct (%)4.3%
Missing27228
Missing (%)99.9%
Memory size212.9 KiB
1
 
23
(Missing)
27228 
ValueCountFrequency (%) 
1230.1%
 
(Missing)2722899.9%
 

PERSON_ACT_MAX_COMPOSITE
Real number (&Ropf≥0)

MISSING

Distinct25
Distinct (%)0.2%
Missing12281
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean28.42879092
Minimum12
Maximum36
Zeros0
Zeros (%)0.0%
Memory size212.9 KiB
2020-11-02T14:14:35.475676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile21.45
Q126
median29
Q332
95-th percentile34
Maximum36
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.006946596
Coefficient of variation (CV)0.140946782
Kurtosis-0.3566906177
Mean28.42879092
Median Absolute Deviation (MAD)3
Skewness-0.3889797665
Sum425579
Variance16.05562102
MonotocityNot monotonic
2020-11-02T14:14:35.616394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
3013965.1%
 
2913184.8%
 
3112804.7%
 
2812484.6%
 
3212224.5%
 
2712154.5%
 
3310623.9%
 
2610613.9%
 
259813.6%
 
349043.3%
 
Other values (15)328312.0%
 
(Missing)1228145.1%
 
ValueCountFrequency (%) 
121< 0.1%
 
131< 0.1%
 
143< 0.1%
 
1513< 0.1%
 
16180.1%
 
ValueCountFrequency (%) 
361020.4%
 
355301.9%
 
349043.3%
 
3310623.9%
 
3212224.5%
 

PERSON_SATI_MAX_TOTAL
Real number (&Ropf≥0)

MISSING

Distinct57
Distinct (%)63.3%
Missing27161
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean1163.066667
Minimum578
Maximum1600
Zeros0
Zeros (%)0.0%
Memory size212.9 KiB
2020-11-02T14:14:35.753181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum578
5-th percentile823.5
Q11045
median1170
Q31290
95-th percentile1491
Maximum1600
Range1022
Interquartile range (IQR)245

Descriptive statistics

Standard deviation204.6857718
Coefficient of variation (CV)0.1759879959
Kurtosis0.1251654645
Mean1163.066667
Median Absolute Deviation (MAD)125
Skewness-0.2669732118
Sum104676
Variance41896.26517
MonotocityNot monotonic
2020-11-02T14:14:35.915922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11004< 0.1%
 
12204< 0.1%
 
11403< 0.1%
 
12403< 0.1%
 
12303< 0.1%
 
10703< 0.1%
 
10603< 0.1%
 
11703< 0.1%
 
9802< 0.1%
 
9902< 0.1%
 
Other values (47)600.2%
 
(Missing)2716199.7%
 
ValueCountFrequency (%) 
5781< 0.1%
 
6401< 0.1%
 
7711< 0.1%
 
8001< 0.1%
 
8101< 0.1%
 
ValueCountFrequency (%) 
16001< 0.1%
 
15501< 0.1%
 
15301< 0.1%
 
15201< 0.1%
 
15001< 0.1%
 

PERSON_SATR_MAX_COMPS
Real number (&Ropf≥0)

MISSING

Distinct88
Distinct (%)0.5%
Missing10034
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean1274.415461
Minimum611
Maximum1600
Zeros0
Zeros (%)0.0%
Memory size212.9 KiB
2020-11-02T14:14:36.070543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum611
5-th percentile1040
Q11180
median1280
Q31380
95-th percentile1500
Maximum1600
Range989
Interquartile range (IQR)200

Descriptive statistics

Standard deviation139.8721563
Coefficient of variation (CV)0.10975397
Kurtosis-0.2458807981
Mean1274.415461
Median Absolute Deviation (MAD)100
Skewness-0.1739663845
Sum21941611
Variance19564.2201
MonotocityNot monotonic
2020-11-02T14:14:36.223413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13105081.9%
 
13004841.8%
 
12604691.7%
 
12704611.7%
 
12904551.7%
 
12304511.7%
 
12504481.6%
 
12804481.6%
 
12404461.6%
 
13204461.6%
 
Other values (78)1260146.2%
 
(Missing)1003436.8%
 
ValueCountFrequency (%) 
6111< 0.1%
 
7301< 0.1%
 
7401< 0.1%
 
7603< 0.1%
 
7702< 0.1%
 
ValueCountFrequency (%) 
16003< 0.1%
 
159012< 0.1%
 
1580300.1%
 
1570540.2%
 
1560730.3%
 

PERSON_24_OR_MORE_HOURS_COLLEGE_WORK
Boolean

MISSING

Distinct2
Distinct (%)0.2%
Missing26363
Missing (%)96.7%
Memory size212.9 KiB
1
 
558
0
 
330
(Missing)
26363 
ValueCountFrequency (%) 
15582.0%
 
03301.2%
 
(Missing)2636396.7%
 

PERSON_APPLICANT_FIRST_GENERATION
Categorical

MISSING

Distinct1
Distinct (%)< 0.1%
Missing23656
Missing (%)86.8%
Memory size212.9 KiB
Yes
3595 
ValueCountFrequency (%) 
Yes359513.2%
 
(Missing)2365686.8%
 
2020-11-02T14:14:36.357284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAMILY_SIZE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
nan
27197 
11+
 
54
ValueCountFrequency (%) 
nan2719799.8%
 
11+540.2%
 
2020-11-02T14:14:36.464748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PARENT_HIGHEST_EDUCATION
Categorical

Distinct12
Distinct (%)< 0.1%
Missing69
Missing (%)0.3%
Memory size212.9 KiB
G. Bachelor's Level Degree
11728 
H. Some Graduate School
9224 
C. High School Graduate or Equivalent
2250 
D. Some College
1823 
E. Technical School
1204 
Other values (7)
 
953
ValueCountFrequency (%) 
G. Bachelor's Level Degree1172843.0%
 
H. Some Graduate School922433.8%
 
C. High School Graduate or Equivalent22508.3%
 
D. Some College18236.7%
 
E. Technical School12044.4%
 
B. Less Than High School Graduate8423.1%
 
A. Not Indicated680.2%
 
I. Master's Level Degree270.1%
 
K. Doctorate (Professional)10< 0.1%
 
F. 2-Year College Degree3< 0.1%
 
Other values (2)3< 0.1%
 
(Missing)690.3%
 
2020-11-02T14:14:36.584728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

PARENT_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)1.0%
Missing27050
Missing (%)99.3%
Memory size212.9 KiB
0
 
170
1
 
31
(Missing)
27050 
ValueCountFrequency (%) 
01700.6%
 
1310.1%
 
(Missing)2705099.3%
 

PARENT_CU_EMPLOYMENT
Boolean

MISSING

Distinct2
Distinct (%)0.8%
Missing27005
Missing (%)99.1%
Memory size212.9 KiB
0
 
194
1
 
52
(Missing)
27005 
ValueCountFrequency (%) 
01940.7%
 
1520.2%
 
(Missing)2700599.1%
 

PERSON_ENGLISH_NATIVE_LANGUAGE
Boolean

MISSING

Distinct2
Distinct (%)0.2%
Missing26447
Missing (%)97.0%
Memory size212.9 KiB
1
 
754
0
 
50
(Missing)
26447 
ValueCountFrequency (%) 
17542.8%
 
0500.2%
 
(Missing)2644797.0%
 

PERSON_NATIVE_LANGUAGE
Categorical

MISSING

Distinct45
Distinct (%)0.2%
Missing942
Missing (%)3.5%
Memory size212.9 KiB
EN
25185 
SP
 
608
FR
 
69
CM
 
50
AR
 
47
Other values (40)
 
350
ValueCountFrequency (%) 
EN2518592.4%
 
SP6082.2%
 
FR690.3%
 
CM500.2%
 
AR470.2%
 
GE410.2%
 
RU320.1%
 
VI270.1%
 
ASL200.1%
 
KO190.1%
 
Other values (35)2110.8%
 
(Missing)9423.5%
 
2020-11-02T14:14:36.730537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique9 ?
Unique (%)< 0.1%

PERSON_GROSS_FAMILY_INCOME
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing9327
Missing (%)34.2%
Memory size212.9 KiB
G. More than $150,000
9891 
F. $100,000 - $149,999
3206 
E. $75,000 - $99,999
1387 
C. $35,000 - $59,999
1178 
B. $15,000 - $34,999
 
905
Other values (2)
1357 
ValueCountFrequency (%) 
G. More than $150,000989136.3%
 
F. $100,000 - $149,999320611.8%
 
E. $75,000 - $99,99913875.1%
 
C. $35,000 - $59,99911784.3%
 
B. $15,000 - $34,9999053.3%
 
D. $60,000 - $74,9998853.2%
 
A. $0 - $15,0004721.7%
 
(Missing)932734.2%
 
2020-11-02T14:14:36.871214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAFSA_SUBMITTED
Boolean

MISSING

Distinct1
Distinct (%)< 0.1%
Missing9255
Missing (%)34.0%
Memory size212.9 KiB
1
17996 
(Missing)
9255 
ValueCountFrequency (%) 
11799666.0%
 
(Missing)925534.0%
 

PERSON_MILITARY_STATUS
Categorical

MISSING

Distinct4
Distinct (%)7.0%
Missing27194
Missing (%)99.8%
Memory size212.9 KiB
Previously Served
25 
Current Dependent
23 
On Active Duty U.S. Military
5 
No relationship
4 
ValueCountFrequency (%) 
Previously Served250.1%
 
Current Dependent230.1%
 
On Active Duty U.S. Military5< 0.1%
 
No relationship4< 0.1%
 
(Missing)2719499.8%
 
2020-11-02T14:14:36.984613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_HS_RANK_PERCENTILE
Real number (&Ropf)

MISSING

Distinct97
Distinct (%)0.9%
Missing16774
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean78.13687124
Minimum-225
Maximum100
Zeros1
Zeros (%)< 0.1%
Memory size212.9 KiB
2020-11-02T14:14:37.111259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-225
5-th percentile43
Q167
median82
Q393
95-th percentile99
Maximum100
Range325
Interquartile range (IQR)26

Descriptive statistics

Standard deviation18.04656414
Coefficient of variation (CV)0.230960926
Kurtosis7.706236331
Mean78.13687124
Median Absolute Deviation (MAD)12
Skewness-1.313199565
Sum818640
Variance325.6784772
MonotocityNot monotonic
2020-11-02T14:14:37.452027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1004191.5%
 
993901.4%
 
983691.4%
 
963481.3%
 
953141.2%
 
973051.1%
 
932991.1%
 
942951.1%
 
922851.0%
 
892641.0%
 
Other values (87)718926.4%
 
(Missing)1677461.6%
 
ValueCountFrequency (%) 
-2251< 0.1%
 
01< 0.1%
 
21< 0.1%
 
51< 0.1%
 
72< 0.1%
 
ValueCountFrequency (%) 
1004191.5%
 
993901.4%
 
983691.4%
 
973051.1%
 
963481.3%
 

PERSON_HS_EQUIVALENCY
Boolean

MISSING

Distinct1
Distinct (%)5.0%
Missing27231
Missing (%)99.9%
Memory size212.9 KiB
1
 
20
(Missing)
27231 
ValueCountFrequency (%) 
1200.1%
 
(Missing)2723199.9%
 

PERSON_CUMULATIVE_GPA
Real number (&Ropf≥0)

MISSING

Distinct647
Distinct (%)25.1%
Missing24678
Missing (%)90.6%
Infinite0
Infinite (%)0.0%
Mean3.50453323
Minimum0
Maximum6
Zeros4
Zeros (%)< 0.1%
Memory size212.9 KiB
2020-11-02T14:14:37.606638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.35
Q13.143
median3.7
Q34
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)0.857

Descriptive statistics

Standard deviation0.5824981055
Coefficient of variation (CV)0.16621275
Kurtosis3.850966779
Mean3.50453323
Median Absolute Deviation (MAD)0.3
Skewness-1.520180891
Sum9017.164
Variance0.3393040429
MonotocityNot monotonic
2020-11-02T14:14:37.747528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
48523.1%
 
32140.8%
 
3.7990.4%
 
3.5640.2%
 
3.3480.2%
 
2370.1%
 
2.7330.1%
 
3.667300.1%
 
3.85280.1%
 
3.9200.1%
 
Other values (637)11484.2%
 
(Missing)2467890.6%
 
ValueCountFrequency (%) 
04< 0.1%
 
0.271< 0.1%
 
0.2861< 0.1%
 
0.3511< 0.1%
 
0.71< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
5.3651< 0.1%
 
5.0911< 0.1%
 
4.4921< 0.1%
 
4.3551< 0.1%
 

PERSON_HS_GPA_CONVERT
Real number (&Ropf≥0)

Distinct1226
Distinct (%)4.5%
Missing59
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean3.715864703
Minimum0.109
Maximum4
Zeros0
Zeros (%)0.0%
Memory size212.9 KiB
2020-11-02T14:14:37.899415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.109
5-th percentile3.13
Q13.507
median3.8
Q34
95-th percentile4
Maximum4
Range3.891
Interquartile range (IQR)0.493

Descriptive statistics

Standard deviation0.3054705206
Coefficient of variation (CV)0.08220711598
Kurtosis0.7452633942
Mean3.715864703
Median Absolute Deviation (MAD)0.2
Skewness-0.9760361451
Sum101041.793
Variance0.09331223895
MonotocityNot monotonic
2020-11-02T14:14:38.050313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4900933.1%
 
3.51850.7%
 
3.751450.5%
 
3.91290.5%
 
3.81250.5%
 
3.71150.4%
 
3.61140.4%
 
3.981000.4%
 
3.4990.4%
 
3.67950.3%
 
Other values (1216)1707662.7%
 
ValueCountFrequency (%) 
0.1091< 0.1%
 
2.341< 0.1%
 
2.361< 0.1%
 
2.3731< 0.1%
 
2.41< 0.1%
 
ValueCountFrequency (%) 
4900933.1%
 
3.9995< 0.1%
 
3.9981< 0.1%
 
3.9976< 0.1%
 
3.9967< 0.1%
 

PERSON_HS_GPA_SR
Categorical

HIGH CARDINALITY
MISSING

Distinct3410
Distinct (%)20.4%
Missing10547
Missing (%)38.7%
Memory size212.9 KiB
3.75
 
171
3.95
 
167
3.67
 
145
3.85
 
132
3.98
 
128
Other values (3405)
15961 
ValueCountFrequency (%) 
3.751710.6%
 
3.951670.6%
 
3.671450.5%
 
3.851320.5%
 
3.981280.5%
 
3.971260.5%
 
3.831240.5%
 
3.651210.4%
 
3.861180.4%
 
3.551080.4%
 
Other values (3400)1536456.4%
 
(Missing)1054738.7%
 
2020-11-02T14:14:38.233867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1795 ?
Unique (%)10.7%

1_HIGH_SCHOOL_CEEB_CODE
Categorical

HIGH CARDINALITY

Distinct5261
Distinct (%)19.3%
Missing17
Missing (%)0.1%
Memory size212.9 KiB
060118
 
283
060515
 
278
060400
 
198
060115
 
189
060748
 
172
Other values (5256)
26114 
ValueCountFrequency (%) 
0601182831.0%
 
0605152781.0%
 
0604001980.7%
 
0601151890.7%
 
0607481720.6%
 
0601301700.6%
 
0607471450.5%
 
0609281430.5%
 
0608851260.5%
 
0601631160.4%
 
Other values (5251)2541493.3%
 
2020-11-02T14:14:38.409426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2285 ?
Unique (%)8.4%

1_HIGH_SCHOOL_NAME
Categorical

HIGH CARDINALITY

Distinct6942
Distinct (%)25.5%
Missing17
Missing (%)0.1%
Memory size212.9 KiB
Cherry Creek High School
 
242
Fairview High School
 
237
East High School
 
176
Boulder High School
 
168
Rock Canyon High School
 
148
Other values (6937)
26263 
ValueCountFrequency (%) 
Cherry Creek High School2420.9%
 
Fairview High School2370.9%
 
East High School1760.6%
 
Boulder High School1680.6%
 
Rock Canyon High School1480.5%
 
Monarch High School1410.5%
 
Arapahoe High School1270.5%
 
Mountain Vista High School1250.5%
 
Lakewood High School1120.4%
 
Cherokee Trail High School1010.4%
 
Other values (6932)2565794.2%
 
2020-11-02T14:14:38.583276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3497 ?
Unique (%)12.8%

1_HIGH_SCHOOL_ATTENDED_TO_DATE
Date

Distinct43
Distinct (%)0.2%
Missing17
Missing (%)0.1%
Memory size212.9 KiB
Minimum2007-05-01 00:00:00
Maximum2019-06-01 00:00:00
2020-11-02T14:14:38.729290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:14:38.868222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

1_HIGH_SCHOOL_REGION
Categorical

HIGH CARDINALITY
MISSING

Distinct87
Distinct (%)0.3%
Missing349
Missing (%)1.3%
Memory size212.9 KiB
CO
7798 
CA
5500 
IL
1527 
TX
1490 
WA
 
780
Other values (82)
9807 
ValueCountFrequency (%) 
CO779828.6%
 
CA550020.2%
 
IL15275.6%
 
TX14905.5%
 
WA7802.9%
 
NY7742.8%
 
MA7292.7%
 
NJ6312.3%
 
FL6192.3%
 
PA4891.8%
 
Other values (77)656524.1%
 
2020-11-02T14:14:39.049905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique22 ?
Unique (%)0.1%

1_HIGH_SCHOOL_CITY
Categorical

HIGH CARDINALITY

Distinct3837
Distinct (%)14.1%
Missing66
Missing (%)0.2%
Memory size212.9 KiB
Denver
 
811
Aurora
 
612
Boulder
 
411
Colorado Springs
 
371
Littleton
 
351
Other values (3832)
24629 
ValueCountFrequency (%) 
Denver8113.0%
 
Aurora6122.2%
 
Boulder4111.5%
 
Colorado Springs3711.4%
 
Littleton3511.3%
 
Highlands Ranch3161.2%
 
Englewood3111.1%
 
Austin2400.9%
 
Broomfield2370.9%
 
Chicago1910.7%
 
Other values (3827)2333485.6%
 
2020-11-02T14:14:39.365157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1610 ?
Unique (%)5.9%

1_HIGH_SCHOOL_TYPE
Categorical

Distinct1
Distinct (%)< 0.1%
Missing17
Missing (%)0.1%
Memory size212.9 KiB
High School
27234 
ValueCountFrequency (%) 
High School2723499.9%
 
(Missing)170.1%
 
2020-11-02T14:14:39.514465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

1_HIGH_SCHOOL_HONORS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing27251
Missing (%)100.0%
Memory size213.0 KiB

CUB_IS__1_CHOICE
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing19485
Missing (%)71.5%
Memory size212.9 KiB
Other college listed
7697 
Yes
 
69
ValueCountFrequency (%) 
Other college listed769728.2%
 
Yes690.3%
 
(Missing)1948571.5%
 
2020-11-02T14:14:39.631169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_CU_SIS_APP_MATRICULATED
Categorical

MISSING

Distinct1
Distinct (%)< 0.1%
Missing20344
Missing (%)74.7%
Memory size212.9 KiB
Yes
6907 
ValueCountFrequency (%) 
Yes690725.3%
 
(Missing)2034474.7%
 
2020-11-02T14:14:39.747199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADMITTED_COLLEGE
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
ARSCU
18944 
ENGRU
3391 
BUSNU
2662 
CMCIU
 
1417
ARPLU
 
348
Other values (2)
 
489
ValueCountFrequency (%) 
ARSCU1894469.5%
 
ENGRU339112.4%
 
BUSNU26629.8%
 
CMCIU14175.2%
 
ARPLU3481.3%
 
EDUCU3341.2%
 
MUSCU1550.6%
 
2020-11-02T14:14:39.862579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_COLLEGE
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
College of Arts & Sciences
12073 
College of Engineering & Applied Science
6962 
Leeds School of Business
5536 
College of Media, Communication & Information
1574 
School of Education
 
437
Other values (2)
 
669
ValueCountFrequency (%) 
College of Arts & Sciences1207344.3%
 
College of Engineering & Applied Science696225.5%
 
Leeds School of Business553620.3%
 
College of Media, Communication & Information15745.8%
 
School of Education4371.6%
 
Program in Environmental Design3401.2%
 
College of Music3291.2%
 
2020-11-02T14:14:39.990308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_INTEREST
Categorical

HIGH CARDINALITY

Distinct78
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
Business - Open Option (Undecided)
3172 
Arts and Sciences - Open Option (Undecided)
 
1707
Psychology
 
1558
Aerospace Engineering Sciences
 
1394
Mechanical Engineering
 
1197
Other values (73)
18223 
ValueCountFrequency (%) 
Business - Open Option (Undecided)317211.6%
 
Arts and Sciences - Open Option (Undecided)17076.3%
 
Psychology15585.7%
 
Aerospace Engineering Sciences13945.1%
 
Mechanical Engineering11974.4%
 
Biological Sciences-Molecular, Cellular, & Developmental Biology11884.4%
 
Biological Sciences-Integrative Physiology10143.7%
 
Computer Science (Engineering, BS)10033.7%
 
Engineering - Open Option (Undecided)9033.3%
 
Marketing8002.9%
 
Other values (68)1331548.9%
 
2020-11-02T14:14:40.141507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%

APPLICATION_SUBMITTED_DATE
Categorical

HIGH CARDINALITY

Distinct272
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
2017-11-15 12:00 AM
3438 
2018-01-15 12:00 AM
2314 
2017-11-14 12:00 AM
2261 
2017-11-13 12:00 AM
 
1079
2018-01-14 12:00 AM
 
938
Other values (267)
17221 
ValueCountFrequency (%) 
2017-11-15 12:00 AM343812.6%
 
2018-01-15 12:00 AM23148.5%
 
2017-11-14 12:00 AM22618.3%
 
2017-11-13 12:00 AM10794.0%
 
2018-01-14 12:00 AM9383.4%
 
2017-11-12 12:00 AM8693.2%
 
2017-11-16 12:00 AM7702.8%
 
2018-01-16 12:00 AM7652.8%
 
2017-10-31 12:00 AM6512.4%
 
2017-10-29 12:00 AM5412.0%
 
Other values (262)1362550.0%
 
2020-11-02T14:14:40.317715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique46 ?
Unique (%)0.2%

APPLICATION_FINAL_RECOMMENDED_DECISION_FROM_READER_FORM
Categorical

Distinct11
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size212.9 KiB
Admit First Choice Program
19691 
Admit Arts and Science AMO
4986 
Admit Pre Engineering
 
968
Admit Pre Business
 
918
Admit McNeill
 
216
Other values (6)
 
468
ValueCountFrequency (%) 
Admit First Choice Program1969172.3%
 
Admit Arts and Science AMO498618.3%
 
Admit Pre Engineering9683.6%
 
Admit Pre Business9183.4%
 
Admit McNeill2160.8%
 
Admit Arts and Sciences AMO with Excel Invite1790.7%
 
Admit Arts and Sciences AMO with GoldShirt Invite1450.5%
 
Admit McNeill to Arts and Sciences AMO1370.5%
 
Deny3< 0.1%
 
Waitlist2< 0.1%
 
(Missing)4< 0.1%
 
2020-11-02T14:14:40.475515image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADMIT_DECISION_RELEASED_DATE
Categorical

HIGH CARDINALITY

Distinct255
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
2018-01-16 06:20 PM
6514 
2018-03-14 04:30 PM
5473 
2018-01-17 06:30 PM
4116 
2018-01-18 06:45 PM
2019 
2018-03-02 06:32 PM
1567 
Other values (250)
7562 
ValueCountFrequency (%) 
2018-01-16 06:20 PM651423.9%
 
2018-03-14 04:30 PM547320.1%
 
2018-01-17 06:30 PM411615.1%
 
2018-01-18 06:45 PM20197.4%
 
2018-03-02 06:32 PM15675.8%
 
2018-02-14 04:30 PM9903.6%
 
2018-01-19 06:35 PM9123.3%
 
2018-03-13 06:31 PM8923.3%
 
2018-03-12 04:30 PM8913.3%
 
2017-12-20 06:30 PM7272.7%
 
Other values (245)315011.6%
 
2020-11-02T14:14:40.629997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique175 ?
Unique (%)0.6%

ADMIT_DECISION_RECEIVED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct9469
Distinct (%)44.7%
Missing6055
Missing (%)22.2%
Memory size212.9 KiB
2018-01-16 06:36 PM
 
298
2018-01-16 06:37 PM
 
232
2018-01-17 06:47 PM
 
168
2018-01-16 06:38 PM
 
134
2018-03-14 06:36 PM
 
108
Other values (9464)
20256 
ValueCountFrequency (%) 
2018-01-16 06:36 PM2981.1%
 
2018-01-16 06:37 PM2320.9%
 
2018-01-17 06:47 PM1680.6%
 
2018-01-16 06:38 PM1340.5%
 
2018-03-14 06:36 PM1080.4%
 
2018-01-16 06:39 PM1000.4%
 
2018-01-17 06:48 PM930.3%
 
2018-01-18 07:01 PM930.3%
 
2018-03-14 06:37 PM890.3%
 
2018-01-16 06:40 PM800.3%
 
Other values (9459)1980172.7%
 
(Missing)605522.2%
 
2020-11-02T14:14:40.820126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6923 ?
Unique (%)32.7%

DEPOSIT_DECISION_CONFIRMED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct4155
Distinct (%)58.3%
Missing20126
Missing (%)73.9%
Memory size212.9 KiB
2018-04-08 04:09 PM
 
39
2018-04-10 12:41 PM
 
23
2018-01-16 06:27 PM
 
22
2018-04-16 11:53 AM
 
14
2018-01-17 08:37 PM
 
12
Other values (4150)
7015 
ValueCountFrequency (%) 
2018-04-08 04:09 PM390.1%
 
2018-04-10 12:41 PM230.1%
 
2018-01-16 06:27 PM220.1%
 
2018-04-16 11:53 AM140.1%
 
2018-01-17 08:37 PM12< 0.1%
 
2018-04-15 09:01 PM12< 0.1%
 
2018-04-08 12:49 PM10< 0.1%
 
2018-04-23 09:11 PM10< 0.1%
 
2018-01-31 08:46 PM9< 0.1%
 
2018-01-23 04:12 PM9< 0.1%
 
Other values (4145)696525.6%
 
(Missing)2012673.9%
 
2020-11-02T14:14:41.000032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2555 ?
Unique (%)35.9%

APPLICATION_HOUSING_APPLICATION_COMPLETED
Boolean

MISSING

Distinct1
Distinct (%)< 0.1%
Missing20730
Missing (%)76.1%
Memory size212.9 KiB
1
6521 
(Missing)
20730 
ValueCountFrequency (%) 
1652123.9%
 
(Missing)2073076.1%
 

MOST_RECENT_DECISION__ANY_APP
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
Admit
15154 
Deposit Paid
6268 
Withdraw
5630 
Deposit Pending
 
145
Defer (Deposit Paid)
 
46
Other values (2)
 
8
ValueCountFrequency (%) 
Admit1515455.6%
 
Deposit Paid626823.0%
 
Withdraw563020.7%
 
Deposit Pending1450.5%
 
Defer (Deposit Paid)460.2%
 
Defer (Deposit Pending)5< 0.1%
 
Administrative Withdraw3< 0.1%
 
2020-11-02T14:14:41.157782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PAST_APP_HISTORY
Categorical

HIGH CARDINALITY
MISSING

Distinct192
Distinct (%)32.6%
Missing26662
Missing (%)97.8%
Memory size212.9 KiB
2018 Fall FR (2018-01-16 Admit: Admit First Choice Program)
97 
2018 Fall FR (2018-03-14 Admit: Admit First Choice Program)
51 
2018 Fall FR (2018-01-17 Admit: Admit First Choice Program)
 
34
2018 Fall FR (2018-02-14 Admit: Admit First Choice Program)
 
29
2018 Fall FR (2018-03-02 Admit: Admit First Choice Program)
 
17
Other values (187)
361 
ValueCountFrequency (%) 
2018 Fall FR (2018-01-16 Admit: Admit First Choice Program)970.4%
 
2018 Fall FR (2018-03-14 Admit: Admit First Choice Program)510.2%
 
2018 Fall FR (2018-01-17 Admit: Admit First Choice Program)340.1%
 
2018 Fall FR (2018-02-14 Admit: Admit First Choice Program)290.1%
 
2018 Fall FR (2018-03-02 Admit: Admit First Choice Program)170.1%
 
2018 Fall FR (2017-12-20 Admit: Admit First Choice Program)140.1%
 
2018 Fall FR (2018-01-18 Admit: AMO Engineering (ENAC))13< 0.1%
 
2018 Fall FR (2018-03-14 Admit: AMO Engineering (ENAC))12< 0.1%
 
2018 Fall FR (2018-03-13 Admit: AMO Business (BUAC))11< 0.1%
 
2018 Fall FR (2018-04-30 Withdraw: Decline Offer of Admission)11< 0.1%
 
Other values (182)3001.1%
 
(Missing)2666297.8%
 
2020-11-02T14:14:41.316670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique135 ?
Unique (%)22.9%

PERSON_ENGAGEMENT
Categorical

MISSING

Distinct6
Distinct (%)0.6%
Missing26169
Missing (%)96.0%
Memory size212.9 KiB
Blue
470 
Purple
251 
Red
157 
Black
103 
Green
81 
ValueCountFrequency (%) 
Blue4701.7%
 
Purple2510.9%
 
Red1570.6%
 
Black1030.4%
 
Green810.3%
 
Yellow200.1%
 
(Missing)2616996.0%
 
2020-11-02T14:14:41.461837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

TOTAL_PING_TIME__SEC
Real number (&Ropf≥0)

SKEWED
ZEROS

Distinct492
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.67263587
Minimum0
Maximum5590
Zeros3059
Zeros (%)11.2%
Memory size212.9 KiB
2020-11-02T14:14:41.735214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q334
95-th percentile112
Maximum5590
Range5590
Interquartile range (IQR)31

Descriptive statistics

Standard deviation82.19266303
Coefficient of variation (CV)2.595068607
Kurtosis1064.920271
Mean31.67263587
Median Absolute Deviation (MAD)12
Skewness22.44383639
Sum863111
Variance6755.633856
MonotocityNot monotonic
2020-11-02T14:14:41.872058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0305911.2%
 
115565.7%
 
212564.6%
 
310613.9%
 
410463.8%
 
59353.4%
 
68393.1%
 
77702.8%
 
86952.6%
 
96422.4%
 
Other values (482)1539256.5%
 
ValueCountFrequency (%) 
0305911.2%
 
115565.7%
 
212564.6%
 
310613.9%
 
410463.8%
 
ValueCountFrequency (%) 
55901< 0.1%
 
34291< 0.1%
 
31521< 0.1%
 
27931< 0.1%
 
23621< 0.1%
 

MESSAGE_COUNT
Real number (&Ropf≥0)

Distinct78
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.55282375
Minimum0
Maximum89
Zeros200
Zeros (%)0.7%
Memory size212.9 KiB
2020-11-02T14:14:42.023307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median18
Q326
95-th percentile38
Maximum89
Range89
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.62854856
Coefficient of variation (CV)0.5435812593
Kurtosis0.7042198352
Mean19.55282375
Median Absolute Deviation (MAD)7
Skewness0.666289548
Sum532834
Variance112.9660444
MonotocityNot monotonic
2020-11-02T14:14:42.169586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1610753.9%
 
1510503.9%
 
1710243.8%
 
1310203.7%
 
1810143.7%
 
1410113.7%
 
1910013.7%
 
209963.7%
 
129723.6%
 
219363.4%
 
Other values (68)1715262.9%
 
ValueCountFrequency (%) 
02000.7%
 
12771.0%
 
23101.1%
 
33211.2%
 
44101.5%
 
ValueCountFrequency (%) 
891< 0.1%
 
861< 0.1%
 
841< 0.1%
 
801< 0.1%
 
753< 0.1%
 

VIRTUAL_EVENT_ENGAGEMENT_COUNT
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
0
27251 
ValueCountFrequency (%) 
027251100.0%
 

ON_CAMPUS_ENGAGEMENT_COUNT
Real number (&Ropf≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2558438222
Minimum0
Maximum4
Zeros20662
Zeros (%)75.8%
Memory size212.9 KiB
2020-11-02T14:14:42.301945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4690125043
Coefficient of variation (CV)1.833198473
Kurtosis1.824123202
Mean0.2558438222
Median Absolute Deviation (MAD)0
Skewness1.586119477
Sum6972
Variance0.2199727292
MonotocityNot monotonic
2020-11-02T14:14:42.408464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02066275.8%
 
1622522.8%
 
23461.3%
 
3170.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
02066275.8%
 
1622522.8%
 
23461.3%
 
3170.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
41< 0.1%
 
3170.1%
 
23461.3%
 
1622522.8%
 
02066275.8%
 

MOST_RECENT_ON_CAMPUS_EVENT
Categorical

MISSING

Distinct27
Distinct (%)0.4%
Missing20662
Missing (%)75.8%
Memory size212.9 KiB
Information Session & Campus Tour
4401 
Be Boulder for a Day
645 
Explore CU
 
422
Talented Scholars Day
 
266
Summer Sampler
 
180
Other values (22)
675 
ValueCountFrequency (%) 
Information Session & Campus Tour440116.1%
 
Be Boulder for a Day6452.4%
 
Explore CU4221.5%
 
Talented Scholars Day2661.0%
 
Summer Sampler1800.7%
 
Engineer Your Future: Engineering Sampler1800.7%
 
Diversity & Inclusion Visit Experience1230.5%
 
Boettcher Semifinalist Day700.3%
 
Ralphie's Group Visit470.2%
 
Engineer Your Future: An Exploration Day for Women450.2%
 
Other values (17)2100.8%
 
(Missing)2066275.8%
 
2020-11-02T14:14:42.553990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique8 ?
Unique (%)0.1%

DATE_MOST_RECENT_ON_CAMPUS_EVENT
Date

MISSING

Distinct568
Distinct (%)8.6%
Missing20662
Missing (%)75.8%
Memory size212.9 KiB
Minimum2017-05-06 10:30:00
Maximum2020-02-13 13:30:00
2020-11-02T14:14:42.694915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:14:42.843000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

OFF_CAMPUS_ENGAGEMENT_COUNT
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
0
23894 
1
3242 
2
 
113
3
 
2
ValueCountFrequency (%) 
02389487.7%
 
1324211.9%
 
21130.4%
 
32< 0.1%
 
2020-11-02T14:14:42.977286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DEPOSIT_PAID
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size212.9 KiB
No
20983 
Yes
6268 
ValueCountFrequency (%) 
No2098377.0%
 
Yes626823.0%
 

DEPOSIT_PAID_CREATED_DATE
Date

MISSING

Distinct4156
Distinct (%)58.3%
Missing20126
Missing (%)73.9%
Memory size212.9 KiB
Minimum2017-11-05 17:21:10
Maximum2018-08-22 12:19:08
2020-11-02T14:14:43.099899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:14:43.260592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

CURRENT_BIN_NAME
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing27251
Missing (%)100.0%
Memory size213.0 KiB

RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION
Categorical

MISSING

Distinct3
Distinct (%)50.0%
Missing27245
Missing (%)> 99.9%
Memory size212.9 KiB
G. Bachelor's Level Degree
3 
C. High School Graduate or Equivalent
2 
D. Some College
1 
ValueCountFrequency (%) 
G. Bachelor's Level Degree3< 0.1%
 
C. High School Graduate or Equivalent2< 0.1%
 
D. Some College1< 0.1%
 
(Missing)27245> 99.9%
 
2020-11-02T14:14:43.404805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)16.7%

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing27251
Missing (%)100.0%
Memory size213.0 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing27251
Missing (%)100.0%
Memory size213.0 KiB

RELATION_SIBLING_HIGHEST_EDUCATION
Categorical

MISSING

Distinct8
Distinct (%)13.3%
Missing27191
Missing (%)99.8%
Memory size212.9 KiB
D. Some College
20 
B. Less Than High School Graduate
14 
G. Bachelor's Level Degree
14 
C. High School Graduate or Equivalent
5 
H. Some Graduate School
 
2
Other values (3)
5 
ValueCountFrequency (%) 
D. Some College200.1%
 
B. Less Than High School Graduate140.1%
 
G. Bachelor's Level Degree140.1%
 
C. High School Graduate or Equivalent5< 0.1%
 
H. Some Graduate School2< 0.1%
 
A. Not Indicated2< 0.1%
 
I. Master's Level Degree2< 0.1%
 
J. Doctorate (Academic)1< 0.1%
 
(Missing)2719199.8%
 
2020-11-02T14:14:43.539883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.7%

RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct2
Distinct (%)3.0%
Missing27185
Missing (%)99.8%
Memory size212.9 KiB
0
 
64
1
 
2
(Missing)
27185 
ValueCountFrequency (%) 
0640.2%
 
12< 0.1%
 
(Missing)2718599.8%
 

RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)2.9%
Missing27182
Missing (%)99.7%
Memory size212.9 KiB
0
 
45
1
 
24
(Missing)
27182 
ValueCountFrequency (%) 
0450.2%
 
1240.1%
 
(Missing)2718299.7%
 

RELATION_STEP_PARENT_HIGHEST_EDUCATION
Categorical

MISSING

Distinct6
Distinct (%)54.5%
Missing27240
Missing (%)> 99.9%
Memory size212.9 KiB
G. Bachelor's Level Degree
4 
B. Less Than High School Graduate
2 
K. Doctorate (Professional)
2 
D. Some College
1 
F. 2-Year College Degree
1 
ValueCountFrequency (%) 
G. Bachelor's Level Degree4< 0.1%
 
B. Less Than High School Graduate2< 0.1%
 
K. Doctorate (Professional)2< 0.1%
 
D. Some College1< 0.1%
 
F. 2-Year College Degree1< 0.1%
 
I. Master's Level Degree1< 0.1%
 
(Missing)27240> 99.9%
 
2020-11-02T14:14:43.817467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)27.3%

RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct1
Distinct (%)8.3%
Missing27239
Missing (%)> 99.9%
Memory size212.9 KiB
0
 
12
(Missing)
27239 
ValueCountFrequency (%) 
012< 0.1%
 
(Missing)27239> 99.9%
 

RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct1
Distinct (%)8.3%
Missing27239
Missing (%)> 99.9%
Memory size212.9 KiB
0
 
12
(Missing)
27239 
ValueCountFrequency (%) 
012< 0.1%
 
(Missing)27239> 99.9%
 

RELATION_GRANDPARENT_HIGHEST_EDUCATION
Categorical

MISSING

Distinct4
Distinct (%)100.0%
Missing27247
Missing (%)> 99.9%
Memory size212.9 KiB
G. Bachelor's Level Degree
1 
H. Some Graduate School
1 
K. Doctorate (Professional)
1 
J. Doctorate (Academic)
1 
ValueCountFrequency (%) 
G. Bachelor's Level Degree1< 0.1%
 
H. Some Graduate School1< 0.1%
 
K. Doctorate (Professional)1< 0.1%
 
J. Doctorate (Academic)1< 0.1%
 
(Missing)27247> 99.9%
 
2020-11-02T14:14:43.939591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)100.0%

RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing27247
Missing (%)> 99.9%
Memory size212.9 KiB
0
 
4
(Missing)
27247 
ValueCountFrequency (%) 
04< 0.1%
 
(Missing)27247> 99.9%
 

RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)50.0%
Missing27247
Missing (%)> 99.9%
Memory size212.9 KiB
1
 
2
0
 
2
(Missing)
27247 
ValueCountFrequency (%) 
12< 0.1%
 
02< 0.1%
 
(Missing)27247> 99.9%
 

APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing27251
Missing (%)100.0%
Memory size213.0 KiB

APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT
Boolean

MISSING

Distinct1
Distinct (%)8.3%
Missing27239
Missing (%)> 99.9%
Memory size212.9 KiB
1
 
12
(Missing)
27239 
ValueCountFrequency (%) 
112< 0.1%
 
(Missing)27239> 99.9%
 

APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT
Boolean

MISSING

Distinct1
Distinct (%)2.2%
Missing27206
Missing (%)99.8%
Memory size212.9 KiB
1
 
45
(Missing)
27206 
ValueCountFrequency (%) 
1450.2%
 
(Missing)2720699.8%
 

APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing139
Missing (%)0.5%
Memory size212.9 KiB
0
26475 
1
 
637
(Missing)
 
139
ValueCountFrequency (%) 
02647597.2%
 
16372.3%
 
(Missing)1390.5%
 

PERSON_YEARS_LIVED_IN_U_S
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing27251
Missing (%)100.0%
Memory size213.0 KiB

PERSON_YEARS_LIVED_OUTSIDE_U_S
Categorical

MISSING

Distinct2
Distinct (%)3.3%
Missing27191
Missing (%)99.8%
Memory size212.9 KiB
0
57 
<1
 
3
ValueCountFrequency (%) 
0570.2%
 
<13< 0.1%
 
(Missing)2719199.8%
 
2020-11-02T14:14:44.054450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.4%
Missing27180
Missing (%)99.7%
Memory size212.9 KiB
1
 
71
(Missing)
27180 
ValueCountFrequency (%) 
1710.3%
 
(Missing)2718099.7%
 

APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.3%
Missing26925
Missing (%)98.8%
Memory size212.9 KiB
1
 
326
(Missing)
26925 
ValueCountFrequency (%) 
13261.2%
 
(Missing)2692598.8%
 

APPLICATION_BAKER_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing25950
Missing (%)95.2%
Memory size212.9 KiB
1
 
1301
(Missing)
25950 
ValueCountFrequency (%) 
113014.8%
 
(Missing)2595095.2%
 

APPLICATION_CHANCELLOR_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)< 0.1%
Missing20247
Missing (%)74.3%
Memory size212.9 KiB
1
7004 
(Missing)
20247 
ValueCountFrequency (%) 
1700425.7%
 
(Missing)2024774.3%
 

APPLICATION_DEAN_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.3%
Missing26902
Missing (%)98.7%
Memory size212.9 KiB
1
 
349
(Missing)
26902 
ValueCountFrequency (%) 
13491.3%
 
(Missing)2690298.7%
 

APPLICATION_HALE_SCHOLAR
Boolean

MISSING

Distinct2
Distinct (%)0.3%
Missing26667
Missing (%)97.9%
Memory size212.9 KiB
1
 
583
0
 
1
(Missing)
26667 
ValueCountFrequency (%) 
15832.1%
 
01< 0.1%
 
(Missing)2666797.9%
 

APPLICATION_IMPACT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)0.9%
Missing27136
Missing (%)99.6%
Memory size212.9 KiB
1
 
115
(Missing)
27136 
ValueCountFrequency (%) 
11150.4%
 
(Missing)2713699.6%
 

APPLICATION_LEEDS_SCHOLAR_ADMIT
Boolean

MISSING

Distinct1
Distinct (%)1.2%
Missing27170
Missing (%)99.7%
Memory size212.9 KiB
1
 
81
(Missing)
27170 
ValueCountFrequency (%) 
1810.3%
 
(Missing)2717099.7%
 

APPLICATION_LEEDS_SCHOLAR_APPLICANT
Boolean

MISSING

Distinct1
Distinct (%)0.9%
Missing27144
Missing (%)99.6%
Memory size212.9 KiB
1
 
107
(Missing)
27144 
ValueCountFrequency (%) 
11070.4%
 
(Missing)2714499.6%
 

APPLICATION_MUSIC_SCHOLARSHIP
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing27251
Missing (%)100.0%
Memory size213.0 KiB

APPLICATION_PRESIDENTIAL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing26313
Missing (%)96.6%
Memory size212.9 KiB
1
 
938
(Missing)
26313 
ValueCountFrequency (%) 
19383.4%
 
(Missing)2631396.6%
 

APPLICATION_REGENT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)0.3%
Missing26950
Missing (%)98.9%
Memory size212.9 KiB
1
 
301
(Missing)
26950 
ValueCountFrequency (%) 
13011.1%
 
(Missing)2695098.9%
 

APPLICATION_SEWALL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing26386
Missing (%)96.8%
Memory size212.9 KiB
1
 
865
(Missing)
26386 
ValueCountFrequency (%) 
18653.2%
 
(Missing)2638696.8%
 

APPLICATION_EXCEL
Categorical

MISSING

Distinct3
Distinct (%)0.7%
Missing26845
Missing (%)98.5%
Memory size212.9 KiB
Excel referral
217 
Excel interview invite
120 
Excel admit
69 
ValueCountFrequency (%) 
Excel referral2170.8%
 
Excel interview invite1200.4%
 
Excel admit690.3%
 
(Missing)2684598.5%
 
2020-11-02T14:14:44.170536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_TUITION_CLASSIFICATION
Boolean

Distinct2
Distinct (%)< 0.1%
Missing210
Missing (%)0.8%
Memory size212.9 KiB
0
19087 
1
7954 
(Missing)
 
210
ValueCountFrequency (%) 
01908770.0%
 
1795429.2%
 
(Missing)2100.8%
 

APPLICATION_ADMITTED_FROM_WAITLIST
Boolean

MISSING

Distinct1
Distinct (%)0.2%
Missing26838
Missing (%)98.5%
Memory size212.9 KiB
1
 
413
(Missing)
26838 
ValueCountFrequency (%) 
14131.5%
 
(Missing)2683898.5%
 

PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)1.2%
Missing27167
Missing (%)99.7%
Memory size212.9 KiB
1
 
84
(Missing)
27167 
ValueCountFrequency (%) 
1840.3%
 
(Missing)2716799.7%
 

PERSON_PRE_COLLEGIATE_RURAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing27251
Missing (%)100.0%
Memory size213.0 KiB

PERSON_PRE_COLLEGIATE_WESTERN_SLOPE
Boolean

MISSING

Distinct1
Distinct (%)2.9%
Missing27217
Missing (%)99.9%
Memory size212.9 KiB
1
 
34
(Missing)
27217 
ValueCountFrequency (%) 
1340.1%
 
(Missing)2721799.9%
 

PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)2.8%
Missing27215
Missing (%)99.9%
Memory size212.9 KiB
1
 
36
(Missing)
27215 
ValueCountFrequency (%) 
1360.1%
 
(Missing)2721599.9%
 

PERSON_DANIEL_S_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.4%
Missing27179
Missing (%)99.7%
Memory size212.9 KiB
1
 
72
(Missing)
27179 
ValueCountFrequency (%) 
1720.3%
 
(Missing)2717999.7%
 

PERSON_ENGINEARME
Boolean

MISSING

Distinct1
Distinct (%)3.6%
Missing27223
Missing (%)99.9%
Memory size212.9 KiB
1
 
28
(Missing)
27223 
ValueCountFrequency (%) 
1280.1%
 
(Missing)2722399.9%
 

HS_CITY_LOCATION
Categorical

HIGH CARDINALITY
MISSING

Distinct2139
Distinct (%)10.5%
Missing6933
Missing (%)25.4%
Memory size212.9 KiB
Denver
 
753
Highlands Ranch
 
515
Boulder
 
484
Aurora
 
476
Colorado Springs
 
391
Other values (2134)
17699 
ValueCountFrequency (%) 
Denver7532.8%
 
Highlands Ranch5151.9%
 
Boulder4841.8%
 
Aurora4761.7%
 
Colorado Springs3911.4%
 
Littleton3041.1%
 
Greenwood Village2781.0%
 
Fort Collins2611.0%
 
Broomfield2210.8%
 
Lakewood2200.8%
 
Other values (2129)1641560.2%
 
(Missing)693325.4%
 
2020-11-02T14:14:44.346390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique746 ?
Unique (%)3.7%

HS_TOT_ENROLLMENT
Real number (&Ropf≥0)

MISSING

Distinct2244
Distinct (%)9.2%
Missing2925
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean1659.257913
Minimum0
Maximum5934
Zeros1
Zeros (%)< 0.1%
Memory size212.9 KiB
2020-11-02T14:14:44.505505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile399
Q11042
median1635
Q32179
95-th percentile3139
Maximum5934
Range5934
Interquartile range (IQR)1137

Descriptive statistics

Standard deviation841.6053875
Coefficient of variation (CV)0.5072179441
Kurtosis0.4809940039
Mean1659.257913
Median Absolute Deviation (MAD)560
Skewness0.5535455956
Sum40363108
Variance708299.6282
MonotocityNot monotonic
2020-11-02T14:14:44.653921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21793131.1%
 
37202851.0%
 
22662280.8%
 
26031980.7%
 
21031910.7%
 
16841880.7%
 
17121710.6%
 
23321470.5%
 
22501430.5%
 
20911430.5%
 
Other values (2234)2231981.9%
 
(Missing)292510.7%
 
ValueCountFrequency (%) 
01< 0.1%
 
31< 0.1%
 
121< 0.1%
 
141< 0.1%
 
211< 0.1%
 
ValueCountFrequency (%) 
593411< 0.1%
 
528611< 0.1%
 
50988< 0.1%
 
479711< 0.1%
 
46091< 0.1%
 

HS_NCES_ID
Categorical

HIGH CARDINALITY
MISSING

Distinct4325
Distinct (%)17.8%
Missing2921
Missing (%)10.7%
Memory size212.9 KiB
080249000114
 
283
080291000186
 
278
080336000338
 
198
080249000101
 
189
A9101574
 
183
Other values (4320)
23199 
ValueCountFrequency (%) 
0802490001142831.0%
 
0802910001862781.0%
 
0803360003381980.7%
 
0802490001011890.7%
 
A91015741830.7%
 
0803450019611720.6%
 
0802490016321700.6%
 
0803450017481450.5%
 
0805310008731430.5%
 
0804800007471260.5%
 
Other values (4315)2244382.4%
 
(Missing)292110.7%
 
2020-11-02T14:14:44.837170image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1756 ?
Unique (%)7.2%

HS_NAME
Categorical

HIGH CARDINALITY
MISSING

Distinct4062
Distinct (%)16.7%
Missing2921
Missing (%)10.7%
Memory size212.9 KiB
Fairview High School
 
283
Cherry Creek High School
 
278
East High School
 
221
Boulder High School
 
189
Regis Jesuit High School
 
183
Other values (4057)
23176 
ValueCountFrequency (%) 
Fairview High School2831.0%
 
Cherry Creek High School2781.0%
 
East High School2210.8%
 
Boulder High School1890.7%
 
Regis Jesuit High School1830.7%
 
Rock Canyon High School1720.6%
 
Monarch High School1700.6%
 
Mountain Vista High School1450.5%
 
Arapahoe High School1430.5%
 
Lakewood High School1280.5%
 
Other values (4052)2241882.3%
 
(Missing)292110.7%
 
2020-11-02T14:14:45.012443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1579 ?
Unique (%)6.5%

HS_TYPE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing2921
Missing (%)10.7%
Memory size212.9 KiB
1
23876 
3
 
243
4
 
136
6
 
55
2
 
15
ValueCountFrequency (%) 
12387687.6%
 
32430.9%
 
41360.5%
 
6550.2%
 
2150.1%
 
75< 0.1%
 
(Missing)292110.7%
 
2020-11-02T14:14:45.150698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_STATE
Categorical

HIGH CARDINALITY
MISSING

Distinct51
Distinct (%)0.3%
Missing6933
Missing (%)25.4%
Memory size212.9 KiB
CO
6672 
CA
3759 
IL
1294 
TX
1033 
WA
 
617
Other values (46)
6943 
ValueCountFrequency (%) 
CO667224.5%
 
CA375913.8%
 
IL12944.7%
 
TX10333.8%
 
WA6172.3%
 
MA5702.1%
 
NJ5512.0%
 
NY5301.9%
 
PA3761.4%
 
CT3751.4%
 
Other values (41)454116.7%
 
(Missing)693325.4%
 
2020-11-02T14:14:45.296519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_TEACHERS_FTE
Real number (&Ropf≥0)

MISSING

Distinct242
Distinct (%)1.0%
Missing2966
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean94.26246654
Minimum0
Maximum362
Zeros17
Zeros (%)0.1%
Memory size212.9 KiB
2020-11-02T14:14:45.452673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q164
median90
Q3113
95-th percentile181
Maximum362
Range362
Interquartile range (IQR)49

Descriptive statistics

Standard deviation46.15254629
Coefficient of variation (CV)0.4896174266
Kurtosis2.336698804
Mean94.26246654
Median Absolute Deviation (MAD)24
Skewness1.109124996
Sum2289164
Variance2130.057529
MonotocityNot monotonic
2020-11-02T14:14:45.605770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
975862.2%
 
1074761.7%
 
1044401.6%
 
1004311.6%
 
754001.5%
 
803691.4%
 
1033541.3%
 
903401.2%
 
853191.2%
 
873131.1%
 
Other values (232)2025774.3%
 
(Missing)296610.9%
 
ValueCountFrequency (%) 
0170.1%
 
1160.1%
 
2310.1%
 
3160.1%
 
46< 0.1%
 
ValueCountFrequency (%) 
3629< 0.1%
 
3301< 0.1%
 
3276< 0.1%
 
3107< 0.1%
 
28411< 0.1%
 

HS_URBAN_CENTRIC_LOCALE_CODE
Categorical

MISSING

Distinct12
Distinct (%)< 0.1%
Missing2921
Missing (%)10.7%
Memory size212.9 KiB
21
10714 
11
4751 
12
2298 
13
2129 
41
1985 
Other values (7)
2453 
ValueCountFrequency (%) 
211071439.3%
 
11475117.4%
 
1222988.4%
 
1321297.8%
 
4119857.3%
 
226002.2%
 
334891.8%
 
233511.3%
 
313161.2%
 
322851.0%
 
Other values (2)4121.5%
 
(Missing)292110.7%
 
2020-11-02T14:14:45.763140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_ZIP
Categorical

HIGH CARDINALITY
MISSING

Distinct3139
Distinct (%)15.4%
Missing6933
Missing (%)25.4%
Memory size212.9 KiB
80305
 
283
80111
 
278
80020
 
221
80016
 
213
80302
 
198
Other values (3134)
19125 
ValueCountFrequency (%) 
803052831.0%
 
801112781.0%
 
800202210.8%
 
800162130.8%
 
803021980.7%
 
802061980.7%
 
805031780.7%
 
801241720.6%
 
800271700.6%
 
801381650.6%
 
Other values (3129)1824266.9%
 
(Missing)693325.4%
 
2020-11-02T14:14:46.072917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1260 ?
Unique (%)6.2%

HS_ADDRESS
Categorical

HIGH CARDINALITY
MISSING

Distinct3476
Distinct (%)17.1%
Missing6933
Missing (%)25.4%
Memory size212.9 KiB
1515 Greenbriar Boulevard
 
283
9300 East Union Avenue
 
278
1600 City Park Esplanade
 
198
1604 Arapahoe Avenue
 
189
5810 Mcarthur Ranch Road
 
172
Other values (3471)
19198 
ValueCountFrequency (%) 
1515 Greenbriar Boulevard2831.0%
 
9300 East Union Avenue2781.0%
 
1600 City Park Esplanade1980.7%
 
1604 Arapahoe Avenue1890.7%
 
5810 Mcarthur Ranch Road1720.6%
 
329 Campus Drive1700.6%
 
10585 Mountain Vista Ridge1450.5%
 
2201 East Dry Creek Road1430.5%
 
9700 West 8Th Avenue1260.5%
 
2701 West 136Th Street1160.4%
 
Other values (3466)1849867.9%
 
(Missing)693325.4%
 
2020-11-02T14:14:46.242452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1442 ?
Unique (%)7.1%

HS_TYPE_VALUE
Categorical

MISSING

Distinct10
Distinct (%)< 0.1%
Missing2921
Missing (%)10.7%
Memory size212.9 KiB
Regular School
19714 
Regular Elementary Or Secondary
4162 
Special Program Emphasis
 
200
Other/Alternative School
 
126
Alternative/Other
 
55
Other values (5)
 
73
ValueCountFrequency (%) 
Regular School1971472.3%
 
Regular Elementary Or Secondary416215.3%
 
Special Program Emphasis2000.7%
 
Other/Alternative School1260.5%
 
Alternative/Other550.2%
 
Vocational School430.2%
 
Montessori13< 0.1%
 
Special Education10< 0.1%
 
Early Childhood Program/Child Care Center5< 0.1%
 
Special Education School2< 0.1%
 
(Missing)292110.7%
 
2020-11-02T14:14:46.393106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_CLASSIFICATION
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing2921
Missing (%)10.7%
Memory size212.9 KiB
Public
19885 
Private
4445 
ValueCountFrequency (%) 
Public1988573.0%
 
Private444516.3%
 
(Missing)292110.7%
 
2020-11-02T14:14:46.526026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_CEEB
Categorical

HIGH CARDINALITY
MISSING

Distinct4335
Distinct (%)17.8%
Missing2921
Missing (%)10.7%
Memory size212.9 KiB
060118
 
283
060515
 
278
060400
 
198
060115
 
189
060748
 
172
Other values (4330)
23210 
ValueCountFrequency (%) 
0601182831.0%
 
0605152781.0%
 
0604001980.7%
 
0601151890.7%
 
0607481720.6%
 
0601301700.6%
 
0607471450.5%
 
0609281430.5%
 
0608851260.5%
 
0601631160.4%
 
Other values (4325)2251082.6%
 
(Missing)292110.7%
 
2020-11-02T14:14:46.684002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1761 ?
Unique (%)7.2%
] [

Dataset statistics

Number of variables123
Number of observations30109
Missing cells1842242
Missing cells (%)49.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.3 MiB
Average record size in memory984.0 B

Variable types

CAT61
BOOL44
NUM13
DATE3
UNSUPPORTED2

Warnings

YEAR has constant value "30109" Constant
APPLICATION_COMMON_APP_ID has a high cardinality: 30094 distinct values High cardinality
PERSON_CU_SIS_ID has a high cardinality: 30090 distinct values High cardinality
PERSON_BIRTHDATE has a high cardinality: 1058 distinct values High cardinality
ADDRESS_STREET_COMBINED has a high cardinality: 29683 distinct values High cardinality
ADDRESS_CITY has a high cardinality: 3411 distinct values High cardinality
ADDRESS_COUNTY has a high cardinality: 786 distinct values High cardinality
ADDRESS_REGION has a high cardinality: 177 distinct values High cardinality
ADDRESS_POSTAL has a high cardinality: 28909 distinct values High cardinality
ADDRESS_US_5_DIGIT_ZIP_CODE has a high cardinality: 5554 distinct values High cardinality
ADDRESS_COUNTRY has a high cardinality: 69 distinct values High cardinality
PERSON_HS_GPA_SR has a high cardinality: 4605 distinct values High cardinality
1_HIGH_SCHOOL_CEEB_CODE has a high cardinality: 5423 distinct values High cardinality
1_HIGH_SCHOOL_NAME has a high cardinality: 7195 distinct values High cardinality
1_HIGH_SCHOOL_REGION has a high cardinality: 96 distinct values High cardinality
1_HIGH_SCHOOL_CITY has a high cardinality: 3899 distinct values High cardinality
APPLICATION_ORIGINAL_ACADEMIC_INTEREST has a high cardinality: 79 distinct values High cardinality
APPLICATION_SUBMITTED_DATE has a high cardinality: 372 distinct values High cardinality
ADMIT_DECISION_RELEASED_DATE has a high cardinality: 209 distinct values High cardinality
ADMIT_DECISION_RECEIVED_DATE has a high cardinality: 9193 distinct values High cardinality
DEPOSIT_DECISION_CONFIRMED_DATE has a high cardinality: 4713 distinct values High cardinality
PAST_APP_HISTORY has a high cardinality: 141 distinct values High cardinality
MOST_RECENT_ON_CAMPUS_EVENT has a high cardinality: 59 distinct values High cardinality
HS_CITY_LOCATION has a high cardinality: 2153 distinct values High cardinality
HS_NCES_ID has a high cardinality: 4322 distinct values High cardinality
HS_NAME has a high cardinality: 4059 distinct values High cardinality
HS_STATE has a high cardinality: 51 distinct values High cardinality
HS_ZIP has a high cardinality: 3158 distinct values High cardinality
HS_ADDRESS has a high cardinality: 3508 distinct values High cardinality
HS_CEEB has a high cardinality: 4336 distinct values High cardinality
PERSON_MULTIPLE_APPLICATIONS has 29620 (98.4%) missing values Missing
ETHNICITY has 382 (1.3%) missing values Missing
ADDRESS_COUNTY has 489 (1.6%) missing values Missing
PERSON_HOME_SCHOOL has 30077 (99.9%) missing values Missing
PERSON_ACT_MAX_COMPOSITE has 14956 (49.7%) missing values Missing
PERSON_SATI_MAX_TOTAL has 30076 (99.9%) missing values Missing
PERSON_SATR_MAX_COMPS has 10339 (34.3%) missing values Missing
PERSON_24_OR_MORE_HOURS_COLLEGE_WORK has 29408 (97.7%) missing values Missing
PERSON_APPLICANT_FIRST_GENERATION has 26079 (86.6%) missing values Missing
PARENT_CU_ATTENDANCE has 29959 (99.5%) missing values Missing
PARENT_CU_EMPLOYMENT has 29930 (99.4%) missing values Missing
PERSON_ENGLISH_NATIVE_LANGUAGE has 29482 (97.9%) missing values Missing
PERSON_NATIVE_LANGUAGE has 724 (2.4%) missing values Missing
PERSON_GROSS_FAMILY_INCOME has 10429 (34.6%) missing values Missing
PERSON_FAFSA_SUBMITTED has 10237 (34.0%) missing values Missing
PERSON_MILITARY_STATUS has 30062 (99.8%) missing values Missing
PERSON_HS_RANK_PERCENTILE has 18591 (61.7%) missing values Missing
PERSON_HS_EQUIVALENCY has 30073 (99.9%) missing values Missing
PERSON_CUMULATIVE_GPA has 26930 (89.4%) missing values Missing
PERSON_HS_GPA_SR has 8751 (29.1%) missing values Missing
1_HIGH_SCHOOL_REGION has 355 (1.2%) missing values Missing
1_HIGH_SCHOOL_HONORS has 30109 (100.0%) missing values Missing
CUB_IS__1_CHOICE has 21543 (71.6%) missing values Missing
ADMIT_DECISION_RECEIVED_DATE has 5828 (19.4%) missing values Missing
DEPOSIT_DECISION_CONFIRMED_DATE has 22224 (73.8%) missing values Missing
APPLICATION_HOUSING_APPLICATION_COMPLETED has 22856 (75.9%) missing values Missing
PAST_APP_HISTORY has 29613 (98.4%) missing values Missing
PERSON_ENGAGEMENT has 930 (3.1%) missing values Missing
MOST_RECENT_ON_CAMPUS_EVENT has 20213 (67.1%) missing values Missing
DATE_MOST_RECENT_ON_CAMPUS_EVENT has 20213 (67.1%) missing values Missing
DEPOSIT_PAID_CREATED_DATE has 22224 (73.8%) missing values Missing
CURRENT_BIN_NAME has 30108 (> 99.9%) missing values Missing
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION has 30106 (> 99.9%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE has 30108 (> 99.9%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT has 30108 (> 99.9%) missing values Missing
RELATION_SIBLING_HIGHEST_EDUCATION has 30068 (99.9%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT has 30066 (99.9%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE has 30059 (99.8%) missing values Missing
RELATION_STEP_PARENT_HIGHEST_EDUCATION has 30102 (> 99.9%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE has 30103 (> 99.9%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT has 30103 (> 99.9%) missing values Missing
RELATION_GRANDPARENT_HIGHEST_EDUCATION has 30103 (> 99.9%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT has 30104 (> 99.9%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE has 30103 (> 99.9%) missing values Missing
APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC has 25615 (85.1%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT has 30093 (99.9%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT has 30067 (99.9%) missing values Missing
APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL has 29619 (98.4%) missing values Missing
PERSON_YEARS_LIVED_IN_U_S has 29904 (99.3%) missing values Missing
PERSON_YEARS_LIVED_OUTSIDE_U_S has 2949 (9.8%) missing values Missing
APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR has 30036 (99.8%) missing values Missing
APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR has 29730 (98.7%) missing values Missing
APPLICATION_BAKER_SCHOLAR has 28621 (95.1%) missing values Missing
APPLICATION_CHANCELLOR_SCHOLAR has 22014 (73.1%) missing values Missing
APPLICATION_DEAN_SCHOLAR has 29599 (98.3%) missing values Missing
APPLICATION_HALE_SCHOLAR has 29414 (97.7%) missing values Missing
APPLICATION_IMPACT_SCHOLARSHIP has 29926 (99.4%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_ADMIT has 30031 (99.7%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_APPLICANT has 29986 (99.6%) missing values Missing
APPLICATION_MUSIC_SCHOLARSHIP has 30109 (100.0%) missing values Missing
APPLICATION_PRESIDENTIAL_SCHOLAR has 29017 (96.4%) missing values Missing
APPLICATION_REGENT_SCHOLARSHIP has 29773 (98.9%) missing values Missing
APPLICATION_SEWALL_SCHOLAR has 29149 (96.8%) missing values Missing
APPLICATION_EXCEL has 29643 (98.5%) missing values Missing
PERSON_TUITION_CLASSIFICATION has 29564 (98.2%) missing values Missing
APPLICATION_ADMITTED_FROM_WAITLIST has 29555 (98.2%) missing values Missing
PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS has 30022 (99.7%) missing values Missing
PERSON_PRE_COLLEGIATE_RURAL has 30094 (> 99.9%) missing values Missing
PERSON_PRE_COLLEGIATE_WESTERN_SLOPE has 30064 (99.9%) missing values Missing
PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS has 30048 (99.8%) missing values Missing
PERSON_DANIEL_S_SCHOLAR has 30046 (99.8%) missing values Missing
PERSON_ENGINEARME has 30108 (> 99.9%) missing values Missing
HS_CITY_LOCATION has 7805 (25.9%) missing values Missing
HS_TOT_ENROLLMENT has 3493 (11.6%) missing values Missing
HS_NCES_ID has 3493 (11.6%) missing values Missing
HS_NAME has 3493 (11.6%) missing values Missing
HS_TYPE has 3493 (11.6%) missing values Missing
HS_STATE has 7805 (25.9%) missing values Missing
HS_TEACHERS_FTE has 3551 (11.8%) missing values Missing
HS_URBAN_CENTRIC_LOCALE_CODE has 3493 (11.6%) missing values Missing
HS_ZIP has 7805 (25.9%) missing values Missing
HS_ADDRESS has 7805 (25.9%) missing values Missing
HS_TYPE_VALUE has 3493 (11.6%) missing values Missing
HS_CLASSIFICATION has 3493 (11.6%) missing values Missing
HS_CEEB has 3493 (11.6%) missing values Missing
df_index has unique values Unique
PERSON_REFERENCE_ID has unique values Unique
1_HIGH_SCHOOL_HONORS is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_MUSIC_SCHOLARSHIP is an unsupported type, check if it needs cleaning or further analysis Unsupported
TOTAL_PING_TIME__SEC has 4580 (15.2%) zeros Zeros
MESSAGE_COUNT has 310 (1.0%) zeros Zeros
ON_CAMPUS_ENGAGEMENT_COUNT has 20213 (67.1%) zeros Zeros
OFF_CAMPUS_ENGAGEMENT_COUNT has 25689 (85.3%) zeros Zeros

Reproduction

Analysis started2020-11-02 21:14:49.528370
Analysis finished2020-11-02 21:14:54.128435
Duration4.6 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml
,

df_index
Real number (&Ropf≥0)

UNIQUE

Distinct30109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40155.8427
Minimum1
Maximum60549
Zeros0
Zeros (%)0.0%
Memory size235.2 KiB
2020-11-02T14:14:54.215287image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6493.4
Q136411
median44328
Q351946
95-th percentile58156.6
Maximum60549
Range60548
Interquartile range (IQR)15535

Descriptive statistics

Standard deviation16167.74869
Coefficient of variation (CV)0.4026250629
Kurtosis0.06385867591
Mean40155.8427
Median Absolute Deviation (MAD)7738
Skewness-1.090495599
Sum1209052268
Variance261396097.8
MonotocityStrictly increasing
2020-11-02T14:14:54.375004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
81881< 0.1%
 
423341< 0.1%
 
115991< 0.1%
 
546081< 0.1%
 
566571< 0.1%
 
505141< 0.1%
 
525631< 0.1%
 
587101< 0.1%
 
382321< 0.1%
 
402811< 0.1%
 
Other values (30099)30099> 99.9%
 
ValueCountFrequency (%) 
11< 0.1%
 
31< 0.1%
 
41< 0.1%
 
61< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
605491< 0.1%
 
605091< 0.1%
 
601501< 0.1%
 
601491< 0.1%
 
600961< 0.1%
 

APPLICATION_COMMON_APP_ID
Categorical

HIGH CARDINALITY

Distinct30094
Distinct (%)100.0%
Missing15
Missing (%)< 0.1%
Memory size235.2 KiB
20310491-2019
 
1
21404340-2019
 
1
20304054-2019
 
1
21793132-2019
 
1
20359530-2019
 
1
Other values (30089)
30089 
ValueCountFrequency (%) 
20310491-20191< 0.1%
 
21404340-20191< 0.1%
 
20304054-20191< 0.1%
 
21793132-20191< 0.1%
 
20359530-20191< 0.1%
 
20615684-20191< 0.1%
 
21305861-20191< 0.1%
 
21373446-20191< 0.1%
 
21492532-20191< 0.1%
 
21409957-20191< 0.1%
 
Other values (30084)3008499.9%
 
(Missing)15< 0.1%
 
2020-11-02T14:14:54.597098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique30094 ?
Unique (%)100.0%

PERSON_REFERENCE_ID
Categorical

UNIQUE

Distinct30109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
341213495
 
1
142680569
 
1
116407230
 
1
822872112
 
1
31863407
 
1
Other values (30104)
30104 
ValueCountFrequency (%) 
3412134951< 0.1%
 
1426805691< 0.1%
 
1164072301< 0.1%
 
8228721121< 0.1%
 
318634071< 0.1%
 
2710198001< 0.1%
 
5977444541< 0.1%
 
5493810551< 0.1%
 
431255301< 0.1%
 
4977741691< 0.1%
 
Other values (30099)30099> 99.9%
 
2020-11-02T14:14:54.811937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique30109 ?
Unique (%)100.0%

PERSON_CU_SIS_ID
Categorical

HIGH CARDINALITY

Distinct30090
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
nan
 
20
108590536.0
 
1
109528906.0
 
1
109489930.0
 
1
108905659.0
 
1
Other values (30085)
30085 
ValueCountFrequency (%) 
nan200.1%
 
108590536.01< 0.1%
 
109528906.01< 0.1%
 
109489930.01< 0.1%
 
108905659.01< 0.1%
 
109523005.01< 0.1%
 
109531066.01< 0.1%
 
109613717.01< 0.1%
 
109484050.01< 0.1%
 
109491832.01< 0.1%
 
Other values (30080)3008099.9%
 
2020-11-02T14:14:55.031618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique30089 ?
Unique (%)99.9%

YEAR
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
2019
30109 
ValueCountFrequency (%) 
201930109100.0%
 
2020-11-02T14:14:55.174722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_FINAL_TERM
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
2019 Fall
29882 
2019 Spr
 
121
2019 Sum
 
106
ValueCountFrequency (%) 
2019 Fall2988299.2%
 
2019 Spr1210.4%
 
2019 Sum1060.4%
 
2020-11-02T14:14:55.293743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_APPLIED_TERM
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
2019 Fall
29447 
2018 Fall
 
416
2019 Sum
 
121
2019 Spr
 
118
2018 Sum
 
6
ValueCountFrequency (%) 
2019 Fall2944797.8%
 
2018 Fall4161.4%
 
2019 Sum1210.4%
 
2019 Spr1180.4%
 
2018 Sum6< 0.1%
 
2018 Spr1< 0.1%
 
2020-11-02T14:14:55.416768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

RESIDENCY_STATUS
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
Non-Resident
20785 
Resident
9321 
Non-Resident International
 
2
Referral
 
1
ValueCountFrequency (%) 
Non-Resident2078569.0%
 
Resident932131.0%
 
Non-Resident International2< 0.1%
 
Referral1< 0.1%
 
2020-11-02T14:14:55.534403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

PERSON_MULTIPLE_APPLICATIONS
Boolean

MISSING

Distinct1
Distinct (%)0.2%
Missing29620
Missing (%)98.4%
Memory size235.2 KiB
1
 
489
(Missing)
29620 
ValueCountFrequency (%) 
14891.6%
 
(Missing)2962098.4%
 

PERSON_SEX
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
F
15943 
M
14166 
ValueCountFrequency (%) 
F1594353.0%
 
M1416647.0%
 
2020-11-02T14:14:55.652603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ETHNICITY
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing382
Missing (%)1.3%
Memory size235.2 KiB
White
21474 
Hispanic
4149 
Asian
2959 
Black or African American
 
567
American Indian or Alaska Native
 
402
ValueCountFrequency (%) 
White2147471.3%
 
Hispanic414913.8%
 
Asian29599.8%
 
Black or African American5671.9%
 
American Indian or Alaska Native4021.3%
 
Native Hawaiian or Other Pacific Islander1760.6%
 
(Missing)3821.3%
 
2020-11-02T14:14:55.774229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_BIRTHDATE
Categorical

HIGH CARDINALITY

Distinct1058
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
2001-03-23
 
110
2001-02-07
 
105
2001-05-23
 
102
2001-02-08
 
102
2001-03-12
 
101
Other values (1053)
29589 
ValueCountFrequency (%) 
2001-03-231100.4%
 
2001-02-071050.3%
 
2001-05-231020.3%
 
2001-02-081020.3%
 
2001-03-121010.3%
 
2000-11-021010.3%
 
2000-10-181000.3%
 
2001-04-241000.3%
 
2000-12-05990.3%
 
2001-03-06980.3%
 
Other values (1048)2909196.6%
 
2020-11-02T14:14:55.923567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique262 ?
Unique (%)0.9%

ADDRESS_STREET_COMBINED
Categorical

HIGH CARDINALITY

Distinct29683
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
nan
 
163
8029 S Williams Way
 
4
8200 E Princeton Ave
 
3
8989 Miners Pl
 
3
PO Box 233
 
3
Other values (29678)
29933 
ValueCountFrequency (%) 
nan1630.5%
 
8029 S Williams Way4< 0.1%
 
8200 E Princeton Ave3< 0.1%
 
8989 Miners Pl3< 0.1%
 
PO Box 2333< 0.1%
 
281 Larkspur Dr3< 0.1%
 
1047 Raymer Ln3< 0.1%
 
120 W Avenida de Los Lobos Marinos2< 0.1%
 
13461 W 85th Dr2< 0.1%
 
PO Box 3532< 0.1%
 
Other values (29673)2992199.4%
 
2020-11-02T14:14:56.153586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29425 ?
Unique (%)97.7%

ADDRESS_CITY
Categorical

HIGH CARDINALITY

Distinct3411
Distinct (%)11.4%
Missing163
Missing (%)0.5%
Memory size235.2 KiB
Denver
 
1264
Aurora
 
625
Colorado Springs
 
605
Highlands Ranch
 
497
Boulder
 
445
Other values (3406)
26510 
ValueCountFrequency (%) 
Denver12644.2%
 
Aurora6252.1%
 
Colorado Springs6052.0%
 
Highlands Ranch4971.7%
 
Boulder4451.5%
 
Littleton4081.4%
 
Fort Collins3241.1%
 
Centennial3121.0%
 
Longmont2881.0%
 
Parker2830.9%
 
Other values (3401)2489582.7%
 
2020-11-02T14:14:56.337939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1426 ?
Unique (%)4.8%

ADDRESS_COUNTY
Categorical

HIGH CARDINALITY
MISSING

Distinct786
Distinct (%)2.7%
Missing489
Missing (%)1.6%
Memory size235.2 KiB
Arapahoe
 
1327
Douglas
 
1301
Los Angeles
 
1193
Boulder
 
1175
Jefferson
 
1145
Other values (781)
23479 
ValueCountFrequency (%) 
Arapahoe13274.4%
 
Douglas13014.3%
 
Los Angeles11934.0%
 
Boulder11753.9%
 
Jefferson11453.8%
 
Denver11323.8%
 
Orange9463.1%
 
Cook8272.7%
 
El Paso7802.6%
 
Santa Clara6692.2%
 
Other values (776)1912563.5%
 
2020-11-02T14:14:56.512904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique224 ?
Unique (%)0.8%

ADDRESS_REGION
Categorical

HIGH CARDINALITY

Distinct177
Distinct (%)0.6%
Missing242
Missing (%)0.8%
Memory size235.2 KiB
CO
9357 
CA
5830 
IL
1757 
TX
1563 
WA
 
840
Other values (172)
10520 
ValueCountFrequency (%) 
CO935731.1%
 
CA583019.4%
 
IL17575.8%
 
TX15635.2%
 
WA8402.8%
 
NY7612.5%
 
FL7292.4%
 
MA7042.3%
 
NJ6822.3%
 
PA5061.7%
 
Other values (167)713823.7%
 
2020-11-02T14:14:56.693555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique78 ?
Unique (%)0.3%

ADDRESS_POSTAL
Categorical

HIGH CARDINALITY

Distinct28909
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
nan
 
213
81632
 
20
80424
 
12
81435
 
9
81620
 
8
Other values (28904)
29847 
ValueCountFrequency (%) 
nan2130.7%
 
81632200.1%
 
8042412< 0.1%
 
814359< 0.1%
 
816208< 0.1%
 
920677< 0.1%
 
816317< 0.1%
 
804875< 0.1%
 
80108-90094< 0.1%
 
80027-95894< 0.1%
 
Other values (28899)2982099.0%
 
2020-11-02T14:14:56.906971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique28047 ?
Unique (%)93.2%

ADDRESS_US_5_DIGIT_ZIP_CODE
Categorical

HIGH CARDINALITY

Distinct5554
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
nan
 
458
80016.0
 
267
80126.0
 
239
80027.0
 
222
80111.0
 
195
Other values (5549)
28728 
ValueCountFrequency (%) 
nan4581.5%
 
80016.02670.9%
 
80126.02390.8%
 
80027.02220.7%
 
80111.01950.6%
 
80134.01940.6%
 
80503.01670.6%
 
80015.01500.5%
 
80108.01500.5%
 
80129.01460.5%
 
Other values (5544)2792192.7%
 
2020-11-02T14:14:57.076750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2469 ?
Unique (%)8.2%

ADDRESS_COUNTRY
Categorical

HIGH CARDINALITY

Distinct69
Distinct (%)0.2%
Missing163
Missing (%)0.5%
Memory size235.2 KiB
United States
29651 
India
 
36
United Kingdom
 
22
Canada
 
12
Kuwait
 
11
Other values (64)
 
214
ValueCountFrequency (%) 
United States2965198.5%
 
India360.1%
 
United Kingdom220.1%
 
Canada12< 0.1%
 
Kuwait11< 0.1%
 
Singapore11< 0.1%
 
Taiwan11< 0.1%
 
Switzerland10< 0.1%
 
Thailand10< 0.1%
 
United Arab Emirates10< 0.1%
 
Other values (59)1620.5%
 
(Missing)1630.5%
 
2020-11-02T14:14:57.468884image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique22 ?
Unique (%)0.1%

PERSON_HOME_SCHOOL
Boolean

MISSING

Distinct1
Distinct (%)3.1%
Missing30077
Missing (%)99.9%
Memory size235.2 KiB
1
 
32
(Missing)
30077 
ValueCountFrequency (%) 
1320.1%
 
(Missing)3007799.9%
 

PERSON_ACT_MAX_COMPOSITE
Real number (&Ropf≥0)

MISSING

Distinct28
Distinct (%)0.2%
Missing14956
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean28.46565037
Minimum8
Maximum45
Zeros0
Zeros (%)0.0%
Memory size235.2 KiB
2020-11-02T14:14:57.611332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile21
Q126
median29
Q332
95-th percentile34
Maximum45
Range37
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.15753958
Coefficient of variation (CV)0.1460546141
Kurtosis-0.2245514401
Mean28.46565037
Median Absolute Deviation (MAD)3
Skewness-0.4688578844
Sum431340
Variance17.28513536
MonotocityNot monotonic
2020-11-02T14:14:57.731833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
3014104.7%
 
3113884.6%
 
3212324.1%
 
2812164.0%
 
2911843.9%
 
2711573.8%
 
3311483.8%
 
2610843.6%
 
349293.1%
 
259003.0%
 
Other values (18)350511.6%
 
(Missing)1495649.7%
 
ValueCountFrequency (%) 
81< 0.1%
 
101< 0.1%
 
121< 0.1%
 
133< 0.1%
 
146< 0.1%
 
ValueCountFrequency (%) 
451< 0.1%
 
361170.4%
 
356202.1%
 
349293.1%
 
3311483.8%
 

PERSON_SATI_MAX_TOTAL
Real number (&Ropf≥0)

MISSING

Distinct25
Distinct (%)75.8%
Missing30076
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1129.181818
Minimum323
Maximum1600
Zeros0
Zeros (%)0.0%
Memory size235.2 KiB
2020-11-02T14:14:57.857832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum323
5-th percentile836
Q11030
median1160
Q31250
95-th percentile1442
Maximum1600
Range1277
Interquartile range (IQR)220

Descriptive statistics

Standard deviation231.315998
Coefficient of variation (CV)0.2048527476
Kurtosis3.617607019
Mean1129.181818
Median Absolute Deviation (MAD)130
Skewness-1.11582407
Sum37263
Variance53507.09091
MonotocityNot monotonic
2020-11-02T14:14:57.978357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
10703< 0.1%
 
12102< 0.1%
 
10302< 0.1%
 
11602< 0.1%
 
12902< 0.1%
 
12502< 0.1%
 
12402< 0.1%
 
8001< 0.1%
 
9401< 0.1%
 
16001< 0.1%
 
Other values (15)15< 0.1%
 
(Missing)3007699.9%
 
ValueCountFrequency (%) 
3231< 0.1%
 
8001< 0.1%
 
8601< 0.1%
 
8701< 0.1%
 
9101< 0.1%
 
ValueCountFrequency (%) 
16001< 0.1%
 
14601< 0.1%
 
14301< 0.1%
 
13801< 0.1%
 
13201< 0.1%
 

PERSON_SATR_MAX_COMPS
Real number (&Ropf≥0)

MISSING

Distinct90
Distinct (%)0.5%
Missing10339
Missing (%)34.3%
Infinite0
Infinite (%)0.0%
Mean1277.457967
Minimum620
Maximum1600
Zeros0
Zeros (%)0.0%
Memory size235.2 KiB
2020-11-02T14:14:58.115829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum620
5-th percentile1030
Q11180
median1280
Q31380
95-th percentile1510
Maximum1600
Range980
Interquartile range (IQR)200

Descriptive statistics

Standard deviation145.3911032
Coefficient of variation (CV)0.1138128275
Kurtosis-0.2262245436
Mean1277.457967
Median Absolute Deviation (MAD)100
Skewness-0.2492657058
Sum25255344
Variance21138.5729
MonotocityNot monotonic
2020-11-02T14:14:58.268828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13105371.8%
 
13405251.7%
 
13305211.7%
 
13205181.7%
 
13005181.7%
 
12305161.7%
 
12105121.7%
 
12504951.6%
 
12604881.6%
 
12904861.6%
 
Other values (80)1465448.7%
 
(Missing)1033934.3%
 
ValueCountFrequency (%) 
6201< 0.1%
 
7103< 0.1%
 
7402< 0.1%
 
7601< 0.1%
 
7703< 0.1%
 
ValueCountFrequency (%) 
16006< 0.1%
 
1590230.1%
 
1580440.1%
 
1570770.3%
 
1560940.3%
 

PERSON_24_OR_MORE_HOURS_COLLEGE_WORK
Boolean

MISSING

Distinct2
Distinct (%)0.3%
Missing29408
Missing (%)97.7%
Memory size235.2 KiB
1
 
369
0
 
332
(Missing)
29408 
ValueCountFrequency (%) 
13691.2%
 
03321.1%
 
(Missing)2940897.7%
 

PERSON_APPLICANT_FIRST_GENERATION
Boolean

MISSING

Distinct2
Distinct (%)< 0.1%
Missing26079
Missing (%)86.6%
Memory size235.2 KiB
Yes
4029 
No
 
1
(Missing)
26079 
ValueCountFrequency (%) 
Yes402913.4%
 
No1< 0.1%
 
(Missing)2607986.6%
 

PERSON_FAMILY_SIZE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
nan
30037 
11+
 
72
ValueCountFrequency (%) 
nan3003799.8%
 
11+720.2%
 
2020-11-02T14:14:58.407833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PARENT_HIGHEST_EDUCATION
Categorical

Distinct12
Distinct (%)< 0.1%
Missing91
Missing (%)0.3%
Memory size235.2 KiB
G. Bachelor's Level Degree
13129 
H. Some Graduate School
10130 
C. High School Graduate or Equivalent
2399 
D. Some College
1846 
E. Technical School
1374 
Other values (7)
 
1140
ValueCountFrequency (%) 
G. Bachelor's Level Degree1312943.6%
 
H. Some Graduate School1013033.6%
 
C. High School Graduate or Equivalent23998.0%
 
D. Some College18466.1%
 
E. Technical School13744.6%
 
B. Less Than High School Graduate10233.4%
 
A. Not Indicated840.3%
 
I. Master's Level Degree200.1%
 
K. Doctorate (Professional)7< 0.1%
 
F. 2-Year College Degree3< 0.1%
 
Other values (2)3< 0.1%
 
(Missing)910.3%
 
2020-11-02T14:14:58.531108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

PARENT_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)1.3%
Missing29959
Missing (%)99.5%
Memory size235.2 KiB
0
 
124
1
 
26
(Missing)
29959 
ValueCountFrequency (%) 
01240.4%
 
1260.1%
 
(Missing)2995999.5%
 

PARENT_CU_EMPLOYMENT
Boolean

MISSING

Distinct2
Distinct (%)1.1%
Missing29930
Missing (%)99.4%
Memory size235.2 KiB
0
 
137
1
 
42
(Missing)
29930 
ValueCountFrequency (%) 
01370.5%
 
1420.1%
 
(Missing)2993099.4%
 

PERSON_ENGLISH_NATIVE_LANGUAGE
Boolean

MISSING

Distinct2
Distinct (%)0.3%
Missing29482
Missing (%)97.9%
Memory size235.2 KiB
1
 
610
0
 
17
(Missing)
29482 
ValueCountFrequency (%) 
16102.0%
 
0170.1%
 
(Missing)2948297.9%
 

PERSON_NATIVE_LANGUAGE
Categorical

MISSING

Distinct46
Distinct (%)0.2%
Missing724
Missing (%)2.4%
Memory size235.2 KiB
EN
28011 
SP
 
806
FR
 
94
CM
 
49
RU
 
49
Other values (41)
 
376
ValueCountFrequency (%) 
EN2801193.0%
 
SP8062.7%
 
FR940.3%
 
CM490.2%
 
RU490.2%
 
VI360.1%
 
AR310.1%
 
GE290.1%
 
PH250.1%
 
KO250.1%
 
Other values (36)2300.8%
 
(Missing)7242.4%
 
2020-11-02T14:14:58.678443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique5 ?
Unique (%)< 0.1%

PERSON_GROSS_FAMILY_INCOME
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing10429
Missing (%)34.6%
Memory size235.2 KiB
G. More than $150,000
11054 
F. $100,000 - $149,999
3340 
E. $75,000 - $99,999
1522 
C. $35,000 - $59,999
1344 
B. $15,000 - $34,999
 
1014
Other values (2)
1406 
ValueCountFrequency (%) 
G. More than $150,0001105436.7%
 
F. $100,000 - $149,999334011.1%
 
E. $75,000 - $99,99915225.1%
 
C. $35,000 - $59,99913444.5%
 
B. $15,000 - $34,99910143.4%
 
D. $60,000 - $74,9998893.0%
 
A. $0 - $15,0005171.7%
 
(Missing)1042934.6%
 
2020-11-02T14:14:58.811669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAFSA_SUBMITTED
Boolean

MISSING

Distinct1
Distinct (%)< 0.1%
Missing10237
Missing (%)34.0%
Memory size235.2 KiB
1
19872 
(Missing)
10237 
ValueCountFrequency (%) 
11987266.0%
 
(Missing)1023734.0%
 

PERSON_MILITARY_STATUS
Categorical

MISSING

Distinct4
Distinct (%)8.5%
Missing30062
Missing (%)99.8%
Memory size235.2 KiB
Previously Served
25 
Current Dependent
17 
On Active Duty U.S. Military
3 
No relationship
 
2
ValueCountFrequency (%) 
Previously Served250.1%
 
Current Dependent170.1%
 
On Active Duty U.S. Military3< 0.1%
 
No relationship2< 0.1%
 
(Missing)3006299.8%
 
2020-11-02T14:14:58.927173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_HS_RANK_PERCENTILE
Real number (&Ropf)

MISSING

Distinct95
Distinct (%)0.8%
Missing18591
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean77.65210974
Minimum-737
Maximum100
Zeros3
Zeros (%)< 0.1%
Memory size235.2 KiB
2020-11-02T14:14:59.053764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-737
5-th percentile41
Q167
median82
Q393
95-th percentile99
Maximum100
Range837
Interquartile range (IQR)26

Descriptive statistics

Standard deviation19.95892066
Coefficient of variation (CV)0.2570299857
Kurtosis240.5603129
Mean77.65210974
Median Absolute Deviation (MAD)12
Skewness-6.645793056
Sum894397
Variance398.3585138
MonotocityNot monotonic
2020-11-02T14:14:59.188890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1004411.5%
 
994331.4%
 
983961.3%
 
973751.2%
 
953351.1%
 
963331.1%
 
933291.1%
 
943231.1%
 
913121.0%
 
903081.0%
 
Other values (85)793326.3%
 
(Missing)1859161.7%
 
ValueCountFrequency (%) 
-7371< 0.1%
 
-111< 0.1%
 
03< 0.1%
 
12< 0.1%
 
31< 0.1%
 
ValueCountFrequency (%) 
1004411.5%
 
994331.4%
 
983961.3%
 
973751.2%
 
963331.1%
 

PERSON_HS_EQUIVALENCY
Boolean

MISSING

Distinct1
Distinct (%)2.8%
Missing30073
Missing (%)99.9%
Memory size235.2 KiB
1
 
36
(Missing)
30073 
ValueCountFrequency (%) 
1360.1%
 
(Missing)3007399.9%
 

PERSON_CUMULATIVE_GPA
Real number (&Ropf≥0)

MISSING

Distinct655
Distinct (%)20.6%
Missing26930
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean3.522009122
Minimum0
Maximum31.944
Zeros3
Zeros (%)< 0.1%
Memory size235.2 KiB
2020-11-02T14:14:59.331589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.3299
Q13.2
median3.7
Q34
95-th percentile4
Maximum31.944
Range31.944
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.7819735145
Coefficient of variation (CV)0.2220248407
Kurtosis551.1209636
Mean3.522009122
Median Absolute Deviation (MAD)0.3
Skewness14.64867475
Sum11196.467
Variance0.6114825773
MonotocityNot monotonic
2020-11-02T14:14:59.478735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
411313.8%
 
32830.9%
 
3.71290.4%
 
3.51030.3%
 
3.3720.2%
 
2660.2%
 
3.85400.1%
 
3.667330.1%
 
2.7300.1%
 
3.333280.1%
 
Other values (645)12644.2%
 
(Missing)2693089.4%
 
ValueCountFrequency (%) 
03< 0.1%
 
0.251< 0.1%
 
0.3331< 0.1%
 
0.7291< 0.1%
 
19< 0.1%
 
ValueCountFrequency (%) 
31.9441< 0.1%
 
10.4351< 0.1%
 
4.3131< 0.1%
 
4.251< 0.1%
 
4.241< 0.1%
 

PERSON_HS_GPA_CONVERT
Real number (&Ropf≥0)

Distinct1278
Distinct (%)4.3%
Missing47
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean3.731122547
Minimum2.06
Maximum4
Zeros0
Zeros (%)0.0%
Memory size235.2 KiB
2020-11-02T14:14:59.636789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.06
5-th percentile3.114
Q13.532
median3.845
Q34
95-th percentile4
Maximum4
Range1.94
Interquartile range (IQR)0.468

Descriptive statistics

Standard deviation0.3109502605
Coefficient of variation (CV)0.08333959997
Kurtosis0.5097272826
Mean3.731122547
Median Absolute Deviation (MAD)0.155
Skewness-1.093775452
Sum112165.006
Variance0.09669006449
MonotocityNot monotonic
2020-11-02T14:14:59.792006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
41096936.4%
 
3.51800.6%
 
3.81530.5%
 
3.751340.4%
 
3.61290.4%
 
3.91240.4%
 
3.981240.4%
 
3.951230.4%
 
3.71190.4%
 
3.691060.4%
 
Other values (1268)1790159.5%
 
ValueCountFrequency (%) 
2.061< 0.1%
 
2.2011< 0.1%
 
2.2131< 0.1%
 
2.2171< 0.1%
 
2.231< 0.1%
 
ValueCountFrequency (%) 
41096936.4%
 
3.9995< 0.1%
 
3.9984< 0.1%
 
3.9977< 0.1%
 
3.99610< 0.1%
 

PERSON_HS_GPA_SR
Categorical

HIGH CARDINALITY
MISSING

Distinct4605
Distinct (%)21.6%
Missing8751
Missing (%)29.1%
Memory size235.2 KiB
4.00
 
314
3.70
 
291
3.30
 
222
3.75
 
186
3.95
 
177
Other values (4600)
20168 
ValueCountFrequency (%) 
4.003141.0%
 
3.702911.0%
 
3.302220.7%
 
3.751860.6%
 
3.951770.6%
 
3.971500.5%
 
3.671480.5%
 
3.891410.5%
 
3.981380.5%
 
3.851380.5%
 
Other values (4595)1945364.6%
 
(Missing)875129.1%
 
2020-11-02T14:14:59.983715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2678 ?
Unique (%)12.5%

1_HIGH_SCHOOL_CEEB_CODE
Categorical

HIGH CARDINALITY

Distinct5423
Distinct (%)18.0%
Missing1
Missing (%)< 0.1%
Memory size235.2 KiB
060515
 
336
060118
 
294
060400
 
241
060115
 
187
060130
 
183
Other values (5418)
28867 
ValueCountFrequency (%) 
0605153361.1%
 
0601182941.0%
 
0604002410.8%
 
0601151870.6%
 
0601301830.6%
 
0607481820.6%
 
0607471810.6%
 
0609281530.5%
 
0600811460.5%
 
0606061390.5%
 
Other values (5413)2806693.2%
 
2020-11-02T14:15:00.167111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2326 ?
Unique (%)7.7%

1_HIGH_SCHOOL_NAME
Categorical

HIGH CARDINALITY

Distinct7195
Distinct (%)23.9%
Missing1
Missing (%)< 0.1%
Memory size235.2 KiB
Cherry Creek High School
 
255
Fairview High School
 
243
East High School
 
172
Rock Canyon High School
 
153
Mountain Vista High School
 
144
Other values (7190)
29141 
ValueCountFrequency (%) 
Cherry Creek High School2550.8%
 
Fairview High School2430.8%
 
East High School1720.6%
 
Rock Canyon High School1530.5%
 
Mountain Vista High School1440.5%
 
Boulder High School1370.5%
 
Monarch High School1270.4%
 
Arapahoe High School1220.4%
 
Grandview High School1220.4%
 
Fossil Ridge High School1110.4%
 
Other values (7185)2852294.7%
 
2020-11-02T14:15:00.559362image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3577 ?
Unique (%)11.9%

1_HIGH_SCHOOL_ATTENDED_TO_DATE
Date

Distinct44
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size235.2 KiB
Minimum1999-05-01 00:00:00
Maximum2021-06-01 00:00:00
2020-11-02T14:15:00.705226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:15:00.850959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

1_HIGH_SCHOOL_REGION
Categorical

HIGH CARDINALITY
MISSING

Distinct96
Distinct (%)0.3%
Missing355
Missing (%)1.2%
Memory size235.2 KiB
CO
9307 
CA
5849 
IL
1745 
TX
1546 
WA
 
839
Other values (91)
10468 
ValueCountFrequency (%) 
CO930730.9%
 
CA584919.4%
 
IL17455.8%
 
TX15465.1%
 
WA8392.8%
 
NY7542.5%
 
MA7252.4%
 
FL7232.4%
 
NJ6872.3%
 
PA5111.7%
 
Other values (86)706823.5%
 
2020-11-02T14:15:01.023237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique32 ?
Unique (%)0.1%

1_HIGH_SCHOOL_CITY
Categorical

HIGH CARDINALITY

Distinct3899
Distinct (%)13.0%
Missing62
Missing (%)0.2%
Memory size235.2 KiB
Denver
 
961
Aurora
 
670
Littleton
 
400
Highlands Ranch
 
388
Boulder
 
385
Other values (3894)
27243 
ValueCountFrequency (%) 
Denver9613.2%
 
Aurora6702.2%
 
Littleton4001.3%
 
Highlands Ranch3881.3%
 
Boulder3851.3%
 
Colorado Springs3721.2%
 
Englewood2961.0%
 
Broomfield2871.0%
 
DENVER2820.9%
 
Fort Collins2130.7%
 
Other values (3889)2579385.7%
 
2020-11-02T14:15:01.196018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1569 ?
Unique (%)5.2%

1_HIGH_SCHOOL_TYPE
Categorical

Distinct1
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size235.2 KiB
High School
30108 
ValueCountFrequency (%) 
High School30108> 99.9%
 
(Missing)1< 0.1%
 
2020-11-02T14:15:01.336655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

1_HIGH_SCHOOL_HONORS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing30109
Missing (%)100.0%
Memory size235.4 KiB

CUB_IS__1_CHOICE
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing21543
Missing (%)71.6%
Memory size235.2 KiB
Other college listed
8484 
Yes
 
82
ValueCountFrequency (%) 
Other college listed848428.2%
 
Yes820.3%
 
(Missing)2154371.6%
 
2020-11-02T14:15:01.444189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_CU_SIS_APP_MATRICULATED
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
No
22491 
Yes
7618 
ValueCountFrequency (%) 
No2249174.7%
 
Yes761825.3%
 

ADMITTED_COLLEGE
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
ARSCU
13561 
MULTU
7314 
ENGRU
3838 
BUSNU
2739 
CMCIU
1651 
Other values (3)
 
1006
ValueCountFrequency (%) 
ARSCU1356145.0%
 
MULTU731424.3%
 
ENGRU383812.7%
 
BUSNU27399.1%
 
CMCIU16515.5%
 
EDUCU5071.7%
 
ARPLU3321.1%
 
MUSCU1670.6%
 
2020-11-02T14:15:01.563651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_COLLEGE
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
College of Arts & Sciences
13431 
College of Engineering & Applied Science
7080 
Leeds School of Business
6352 
College of Media, Communication & Information
1965 
School of Education
 
579
Other values (2)
 
702
ValueCountFrequency (%) 
College of Arts & Sciences1343144.6%
 
College of Engineering & Applied Science708023.5%
 
Leeds School of Business635221.1%
 
College of Media, Communication & Information19656.5%
 
School of Education5791.9%
 
Program in Environmental Design3871.3%
 
College of Music3151.0%
 
2020-11-02T14:15:01.700727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_INTEREST
Categorical

HIGH CARDINALITY

Distinct79
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Memory size235.2 KiB
Business - Open Option (Undecided)
3609 
Psychology
2007 
Arts and Sciences - Open Option (Undecided)
 
1786
Aerospace Engineering Sciences
 
1411
Biological Sciences-Molecular, Cellular, & Developmental Biology
 
1281
Other values (74)
20014 
ValueCountFrequency (%) 
Business - Open Option (Undecided)360912.0%
 
Psychology20076.7%
 
Arts and Sciences - Open Option (Undecided)17865.9%
 
Aerospace Engineering Sciences14114.7%
 
Biological Sciences-Molecular, Cellular, & Developmental Biology12814.3%
 
Mechanical Engineering11853.9%
 
Biological Sciences-Integrative Physiology11383.8%
 
Computer Science (Engineering, BS)10733.6%
 
Marketing9583.2%
 
Engineering - Open Option (Undecided)8893.0%
 
Other values (69)1477149.1%
 
2020-11-02T14:15:01.858918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_SUBMITTED_DATE
Categorical

HIGH CARDINALITY

Distinct372
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
2018-10-30 12:00 AM
3874 
2018-11-15 12:00 AM
3508 
2018-11-14 12:00 AM
2096 
2019-01-15 12:00 AM
1834 
2018-10-31 12:00 AM
 
1125
Other values (367)
17672 
ValueCountFrequency (%) 
2018-10-30 12:00 AM387412.9%
 
2018-11-15 12:00 AM350811.7%
 
2018-11-14 12:00 AM20967.0%
 
2019-01-15 12:00 AM18346.1%
 
2018-10-31 12:00 AM11253.7%
 
2018-11-13 12:00 AM10823.6%
 
2019-01-14 12:00 AM8812.9%
 
2019-01-16 12:00 AM7362.4%
 
2018-11-16 12:00 AM7242.4%
 
2018-11-12 12:00 AM6912.3%
 
Other values (362)1355845.0%
 
2020-11-02T14:15:02.039887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique112 ?
Unique (%)0.4%

APPLICATION_FINAL_RECOMMENDED_DECISION_FROM_READER_FORM
Categorical

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
Admit First Choice Program
22243 
Admit Exploratory Studies
4597 
Admit Pre Business
 
1550
Admit Pre Engineering
 
962
Admit Exploratory Studies with Excel Invite
 
230
Other values (9)
 
527
ValueCountFrequency (%) 
Admit First Choice Program2224373.9%
 
Admit Exploratory Studies459715.3%
 
Admit Pre Business15505.1%
 
Admit Pre Engineering9623.2%
 
Admit Exploratory Studies with Excel Invite2300.8%
 
Admit McNeill1670.6%
 
Admit Exploratory Studies with GoldShirt Invite1430.5%
 
Admit McNeill to Exploratory Studies1370.5%
 
Admit Arts and Science AMO740.2%
 
Admit Arts and Sciences AMO with Excel Invite2< 0.1%
 
Other values (4)4< 0.1%
 
2020-11-02T14:15:02.192199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%

ADMIT_DECISION_RELEASED_DATE
Categorical

HIGH CARDINALITY

Distinct209
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
2019-01-11 06:53 PM
9901 
2019-01-11 06:48 PM
9822 
2019-03-01 07:15 PM
5723 
2019-03-01 07:22 PM
1182 
2019-03-01 07:18 PM
 
930
Other values (204)
2551 
ValueCountFrequency (%) 
2019-01-11 06:53 PM990132.9%
 
2019-01-11 06:48 PM982232.6%
 
2019-03-01 07:15 PM572319.0%
 
2019-03-01 07:22 PM11823.9%
 
2019-03-01 07:18 PM9303.1%
 
2019-04-17 06:37 PM7212.4%
 
2019-03-28 02:26 PM5621.9%
 
2019-01-11 06:55 PM1450.5%
 
2018-10-18 10:54 AM1220.4%
 
2019-01-11 06:56 PM860.3%
 
Other values (199)9153.0%
 
2020-11-02T14:15:02.340817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique91 ?
Unique (%)0.3%

ADMIT_DECISION_RECEIVED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct9193
Distinct (%)37.9%
Missing5828
Missing (%)19.4%
Memory size235.2 KiB
2019-03-01 07:42 PM
 
219
2019-03-01 07:41 PM
 
171
2019-01-11 07:37 PM
 
152
2019-01-11 07:35 PM
 
149
2019-01-11 07:38 PM
 
148
Other values (9188)
23442 
ValueCountFrequency (%) 
2019-03-01 07:42 PM2190.7%
 
2019-03-01 07:41 PM1710.6%
 
2019-01-11 07:37 PM1520.5%
 
2019-01-11 07:35 PM1490.5%
 
2019-01-11 07:38 PM1480.5%
 
2019-01-11 07:41 PM1460.5%
 
2019-01-11 07:33 PM1460.5%
 
2019-01-11 07:39 PM1430.5%
 
2019-01-11 07:42 PM1430.5%
 
2019-01-11 07:36 PM1420.5%
 
Other values (9183)2272275.5%
 
(Missing)582819.4%
 
2020-11-02T14:15:02.520402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique7051 ?
Unique (%)29.0%

DEPOSIT_DECISION_CONFIRMED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct4713
Distinct (%)59.8%
Missing22224
Missing (%)73.8%
Memory size235.2 KiB
2019-02-04 11:20 AM
 
22
2019-04-30 11:01 PM
 
14
2019-01-11 08:44 PM
 
13
2019-04-30 10:41 PM
 
13
2019-01-11 08:57 PM
 
12
Other values (4708)
7811 
ValueCountFrequency (%) 
2019-02-04 11:20 AM220.1%
 
2019-04-30 11:01 PM14< 0.1%
 
2019-01-11 08:44 PM13< 0.1%
 
2019-04-30 10:41 PM13< 0.1%
 
2019-01-11 08:57 PM12< 0.1%
 
2019-02-04 11:57 AM10< 0.1%
 
2019-01-11 08:19 PM10< 0.1%
 
2019-04-30 11:11 PM10< 0.1%
 
2019-04-06 04:33 PM9< 0.1%
 
2019-02-03 11:07 PM9< 0.1%
 
Other values (4703)776325.8%
 
(Missing)2222473.8%
 
2020-11-02T14:15:02.686695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2905 ?
Unique (%)36.8%

APPLICATION_HOUSING_APPLICATION_COMPLETED
Boolean

MISSING

Distinct1
Distinct (%)< 0.1%
Missing22856
Missing (%)75.9%
Memory size235.2 KiB
1
7253 
(Missing)
22856 
ValueCountFrequency (%) 
1725324.1%
 
(Missing)2285675.9%
 

MOST_RECENT_DECISION__ANY_APP
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
Admit
16583 
Deposit Paid
7024 
Withdraw
6084 
Defer (Deposit Paid)
 
203
Deposit Pending
 
117
Other values (2)
 
98
ValueCountFrequency (%) 
Admit1658355.1%
 
Deposit Paid702423.3%
 
Withdraw608420.2%
 
Defer (Deposit Paid)2030.7%
 
Deposit Pending1170.4%
 
Defer Admit970.3%
 
Defer (Deposit Pending)1< 0.1%
 
2020-11-02T14:15:02.830925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

PAST_APP_HISTORY
Categorical

HIGH CARDINALITY
MISSING

Distinct141
Distinct (%)28.4%
Missing29613
Missing (%)98.4%
Memory size235.2 KiB
2019 Fall FR (2019-01-11 Admit: Admit First Choice Program)
140 
2019 Fall FR (2019-03-01 Admit: Admit First Choice Program)
62 
2019 Fall FR (2019-01-11 Admit: Admit Exploratory Studies)
57 
2019 Fall FR (2019-03-01 Admit: Admit Exploratory Studies)
 
20
2019 Fall FR (2019-04-30 Withdraw: Decline Offer of Admission)
 
10
Other values (136)
207 
ValueCountFrequency (%) 
2019 Fall FR (2019-01-11 Admit: Admit First Choice Program)1400.5%
 
2019 Fall FR (2019-03-01 Admit: Admit First Choice Program)620.2%
 
2019 Fall FR (2019-01-11 Admit: Admit Exploratory Studies)570.2%
 
2019 Fall FR (2019-03-01 Admit: Admit Exploratory Studies)200.1%
 
2019 Fall FR (2019-04-30 Withdraw: Decline Offer of Admission)10< 0.1%
 
2018 Fall FR (2018-01-16 Admit: Admit First Choice Program)9< 0.1%
 
2019 Fall FR (2019-05-01 Withdraw: Decline Offer of Admission)8< 0.1%
 
2019 Fall FR (2019-04-17 Admit: Admit First Choice Program)8< 0.1%
 
2018 Fall FR ( incomplete app; no decision released: --)6< 0.1%
 
2019 Fall FR (2019-04-29 Withdraw: Decline Offer of Admission)5< 0.1%
 
Other values (131)1710.6%
 
(Missing)2961398.4%
 
2020-11-02T14:15:02.991447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique102 ?
Unique (%)20.6%

PERSON_ENGAGEMENT
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing930
Missing (%)3.1%
Memory size235.2 KiB
Blue
9047 
Red
6786 
Purple
5020 
Black
4248 
Green
3636 
ValueCountFrequency (%) 
Blue904730.0%
 
Red678622.5%
 
Purple502016.7%
 
Black424814.1%
 
Green363612.1%
 
Yellow4421.5%
 
(Missing)9303.1%
 
2020-11-02T14:15:03.136446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

TOTAL_PING_TIME__SEC
Real number (&Ropf≥0)

ZEROS

Distinct1005
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.66598027
Minimum0
Maximum15012
Zeros4580
Zeros (%)15.2%
Memory size235.2 KiB
2020-11-02T14:15:03.261766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median27
Q393
95-th percentile424.6
Maximum15012
Range15012
Interquartile range (IQR)88

Descriptive statistics

Standard deviation195.5804242
Coefficient of variation (CV)2.110595751
Kurtosis1157.159147
Mean92.66598027
Median Absolute Deviation (MAD)27
Skewness18.38401596
Sum2790080
Variance38251.70233
MonotocityNot monotonic
2020-11-02T14:15:03.407403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0458015.2%
 
19373.1%
 
26912.3%
 
36322.1%
 
45691.9%
 
55101.7%
 
74761.6%
 
64621.5%
 
84461.5%
 
104081.4%
 
Other values (995)2039867.7%
 
ValueCountFrequency (%) 
0458015.2%
 
19373.1%
 
26912.3%
 
36322.1%
 
45691.9%
 
ValueCountFrequency (%) 
150121< 0.1%
 
44771< 0.1%
 
36771< 0.1%
 
33381< 0.1%
 
32451< 0.1%
 

MESSAGE_COUNT
Real number (&Ropf≥0)

ZEROS

Distinct75
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.96193829
Minimum0
Maximum80
Zeros310
Zeros (%)1.0%
Memory size235.2 KiB
2020-11-02T14:15:03.809437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median16
Q322
95-th percentile34
Maximum80
Range80
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.554008306
Coefficient of variation (CV)0.5632615885
Kurtosis1.499604367
Mean16.96193829
Median Absolute Deviation (MAD)6
Skewness0.8986100138
Sum510707
Variance91.27907471
MonotocityNot monotonic
2020-11-02T14:15:03.960809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1314014.7%
 
1413544.5%
 
1213504.5%
 
1613444.5%
 
1512924.3%
 
1112834.3%
 
1712614.2%
 
1812594.2%
 
1012244.1%
 
1911823.9%
 
Other values (65)1715957.0%
 
ValueCountFrequency (%) 
03101.0%
 
13191.1%
 
23621.2%
 
34151.4%
 
45952.0%
 
ValueCountFrequency (%) 
802< 0.1%
 
781< 0.1%
 
771< 0.1%
 
741< 0.1%
 
711< 0.1%
 

VIRTUAL_EVENT_ENGAGEMENT_COUNT
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
0
30105 
1
 
4
ValueCountFrequency (%) 
030105> 99.9%
 
14< 0.1%
 

ON_CAMPUS_ENGAGEMENT_COUNT
Real number (&Ropf≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3550765552
Minimum0
Maximum6
Zeros20213
Zeros (%)67.1%
Memory size235.2 KiB
2020-11-02T14:15:04.093426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5386261471
Coefficient of variation (CV)1.516929629
Kurtosis2.521796615
Mean0.3550765552
Median Absolute Deviation (MAD)0
Skewness1.384293278
Sum10691
Variance0.2901181264
MonotocityNot monotonic
2020-11-02T14:15:04.192211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
02021367.1%
 
1920030.6%
 
26162.0%
 
3670.2%
 
48< 0.1%
 
54< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
02021367.1%
 
1920030.6%
 
26162.0%
 
3670.2%
 
48< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
54< 0.1%
 
48< 0.1%
 
3670.2%
 
26162.0%
 

MOST_RECENT_ON_CAMPUS_EVENT
Categorical

HIGH CARDINALITY
MISSING

Distinct59
Distinct (%)0.6%
Missing20213
Missing (%)67.1%
Memory size235.2 KiB
Information Session & Campus Tour
6851 
Information Session & Campus Tours
886 
Explore CU Boulder
 
354
Explore CU
 
287
Talented Scholars Day 2018
 
205
Other values (54)
1313 
ValueCountFrequency (%) 
Information Session & Campus Tour685122.8%
 
Information Session & Campus Tours8862.9%
 
Explore CU Boulder3541.2%
 
Explore CU2871.0%
 
Talented Scholars Day 20182050.7%
 
Engineer Your Future: Engineering Sampler1570.5%
 
Discover CU Boulder1270.4%
 
Chancellor's & Presidential Scholarship Reception: Admitted Students Day920.3%
 
Pre-Collegiate Boulder Application Day770.3%
 
Boettcher Semifinalist Day 2019720.2%
 
Other values (49)7882.6%
 
(Missing)2021367.1%
 
2020-11-02T14:15:04.346024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique12 ?
Unique (%)0.1%

DATE_MOST_RECENT_ON_CAMPUS_EVENT
Date

MISSING

Distinct1015
Distinct (%)10.3%
Missing20213
Missing (%)67.1%
Memory size235.2 KiB
Minimum2017-06-12 09:30:00
Maximum2020-03-12 09:30:00
2020-11-02T14:15:04.502400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:15:04.645014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

OFF_CAMPUS_ENGAGEMENT_COUNT
Real number (&Ropf≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1608157029
Minimum0
Maximum4
Zeros25689
Zeros (%)85.3%
Memory size235.2 KiB
2020-11-02T14:15:04.766193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4060183276
Coefficient of variation (CV)2.524743046
Kurtosis7.010672667
Mean0.1608157029
Median Absolute Deviation (MAD)0
Skewness2.584642364
Sum4842
Variance0.1648508824
MonotocityNot monotonic
2020-11-02T14:15:04.864507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
02568985.3%
 
1402313.4%
 
23751.2%
 
3190.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
02568985.3%
 
1402313.4%
 
23751.2%
 
3190.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
43< 0.1%
 
3190.1%
 
23751.2%
 
1402313.4%
 
02568985.3%
 

DEPOSIT_PAID
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size235.2 KiB
No
23085 
Yes
7024 
ValueCountFrequency (%) 
No2308576.7%
 
Yes702423.3%
 

DEPOSIT_PAID_CREATED_DATE
Date

MISSING

Distinct4713
Distinct (%)59.8%
Missing22224
Missing (%)73.8%
Memory size235.2 KiB
Minimum2017-12-20 19:08:45
Maximum2019-07-26 14:26:27
2020-11-02T14:15:05.003063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:15:05.152018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

CURRENT_BIN_NAME
Categorical

MISSING

Distinct1
Distinct (%)100.0%
Missing30108
Missing (%)> 99.9%
Memory size235.2 KiB
R - Admit
1 
ValueCountFrequency (%) 
R - Admit1< 0.1%
 
(Missing)30108> 99.9%
 
2020-11-02T14:15:05.284451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION
Categorical

MISSING

Distinct3
Distinct (%)100.0%
Missing30106
Missing (%)> 99.9%
Memory size235.2 KiB
B. Less Than High School Graduate
1 
H. Some Graduate School
1 
C. High School Graduate or Equivalent
1 
ValueCountFrequency (%) 
B. Less Than High School Graduate1< 0.1%
 
H. Some Graduate School1< 0.1%
 
C. High School Graduate or Equivalent1< 0.1%
 
(Missing)30106> 99.9%
 
2020-11-02T14:15:05.391573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)100.0%

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing30108
Missing (%)> 99.9%
Memory size235.2 KiB
0
 
1
(Missing)
30108 
ValueCountFrequency (%) 
01< 0.1%
 
(Missing)30108> 99.9%
 

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing30108
Missing (%)> 99.9%
Memory size235.2 KiB
0
 
1
(Missing)
30108 
ValueCountFrequency (%) 
01< 0.1%
 
(Missing)30108> 99.9%
 

RELATION_SIBLING_HIGHEST_EDUCATION
Categorical

MISSING

Distinct6
Distinct (%)14.6%
Missing30068
Missing (%)99.9%
Memory size235.2 KiB
D. Some College
14 
G. Bachelor's Level Degree
11 
B. Less Than High School Graduate
10 
C. High School Graduate or Equivalent
4 
H. Some Graduate School
 
1
ValueCountFrequency (%) 
D. Some College14< 0.1%
 
G. Bachelor's Level Degree11< 0.1%
 
B. Less Than High School Graduate10< 0.1%
 
C. High School Graduate or Equivalent4< 0.1%
 
H. Some Graduate School1< 0.1%
 
I. Master's Level Degree1< 0.1%
 
(Missing)3006899.9%
 
2020-11-02T14:15:05.511997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)4.9%

RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct2
Distinct (%)4.7%
Missing30066
Missing (%)99.9%
Memory size235.2 KiB
0
 
39
1
 
4
(Missing)
30066 
ValueCountFrequency (%) 
0390.1%
 
14< 0.1%
 
(Missing)3006699.9%
 

RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)4.0%
Missing30059
Missing (%)99.8%
Memory size235.2 KiB
0
 
27
1
 
23
(Missing)
30059 
ValueCountFrequency (%) 
0270.1%
 
1230.1%
 
(Missing)3005999.8%
 

RELATION_STEP_PARENT_HIGHEST_EDUCATION
Categorical

MISSING

Distinct3
Distinct (%)42.9%
Missing30102
Missing (%)> 99.9%
Memory size235.2 KiB
G. Bachelor's Level Degree
3 
I. Master's Level Degree
3 
K. Doctorate (Professional)
1 
ValueCountFrequency (%) 
G. Bachelor's Level Degree3< 0.1%
 
I. Master's Level Degree3< 0.1%
 
K. Doctorate (Professional)1< 0.1%
 
(Missing)30102> 99.9%
 
2020-11-02T14:15:05.646504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)14.3%

RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)33.3%
Missing30103
Missing (%)> 99.9%
Memory size235.2 KiB
1
 
3
0
 
3
(Missing)
30103 
ValueCountFrequency (%) 
13< 0.1%
 
03< 0.1%
 
(Missing)30103> 99.9%
 

RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct2
Distinct (%)33.3%
Missing30103
Missing (%)> 99.9%
Memory size235.2 KiB
0
 
5
1
 
1
(Missing)
30103 
ValueCountFrequency (%) 
05< 0.1%
 
11< 0.1%
 
(Missing)30103> 99.9%
 

RELATION_GRANDPARENT_HIGHEST_EDUCATION
Categorical

MISSING

Distinct4
Distinct (%)66.7%
Missing30103
Missing (%)> 99.9%
Memory size235.2 KiB
G. Bachelor's Level Degree
3 
H. Some Graduate School
1 
A. Not Indicated
1 
J. Doctorate (Academic)
1 
ValueCountFrequency (%) 
G. Bachelor's Level Degree3< 0.1%
 
H. Some Graduate School1< 0.1%
 
A. Not Indicated1< 0.1%
 
J. Doctorate (Academic)1< 0.1%
 
(Missing)30103> 99.9%
 
2020-11-02T14:15:05.783789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)50.0%

RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct1
Distinct (%)20.0%
Missing30104
Missing (%)> 99.9%
Memory size235.2 KiB
0
 
5
(Missing)
30104 
ValueCountFrequency (%) 
05< 0.1%
 
(Missing)30104> 99.9%
 

RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)33.3%
Missing30103
Missing (%)> 99.9%
Memory size235.2 KiB
1
 
5
0
 
1
(Missing)
30103 
ValueCountFrequency (%) 
15< 0.1%
 
01< 0.1%
 
(Missing)30103> 99.9%
 

APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC
Categorical

MISSING

Distinct8
Distinct (%)0.2%
Missing25615
Missing (%)85.1%
Memory size235.2 KiB
Colorado Free Application Day (Colorado residents only)
3868 
CU Boulder application workshop participant
 
252
Other pre-approved application fee waiver (must have valid code)
 
194
Outstanding Colorado Student (by invitation only)
 
65
Boettcher Scholar semi-finalist (CO residents, by invitiation only)
 
48
Other values (3)
 
67
ValueCountFrequency (%) 
Colorado Free Application Day (Colorado residents only)386812.8%
 
CU Boulder application workshop participant2520.8%
 
Other pre-approved application fee waiver (must have valid code)1940.6%
 
Outstanding Colorado Student (by invitation only)650.2%
 
Boettcher Scholar semi-finalist (CO residents, by invitiation only)480.2%
 
EngiNearMe Program participant (by invitation only)250.1%
 
Pre-Collegiate Program participant (CO residents, by invitation only)220.1%
 
Pre-approved athletic waiver200.1%
 
(Missing)2561585.1%
 
2020-11-02T14:15:05.920772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT
Boolean

MISSING

Distinct2
Distinct (%)12.5%
Missing30093
Missing (%)99.9%
Memory size235.2 KiB
1
 
15
0
 
1
(Missing)
30093 
ValueCountFrequency (%) 
115< 0.1%
 
01< 0.1%
 
(Missing)3009399.9%
 

APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT
Boolean

MISSING

Distinct2
Distinct (%)4.8%
Missing30067
Missing (%)99.9%
Memory size235.2 KiB
1
 
41
0
 
1
(Missing)
30067 
ValueCountFrequency (%) 
1410.1%
 
01< 0.1%
 
(Missing)3006799.9%
 

APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL
Boolean

MISSING

Distinct2
Distinct (%)0.4%
Missing29619
Missing (%)98.4%
Memory size235.2 KiB
0
 
338
1
 
152
(Missing)
29619 
ValueCountFrequency (%) 
03381.1%
 
11520.5%
 
(Missing)2961998.4%
 

PERSON_YEARS_LIVED_IN_U_S
Categorical

MISSING

Distinct3
Distinct (%)1.5%
Missing29904
Missing (%)99.3%
Memory size235.2 KiB
0
91 
<1
84 
>20
30 
ValueCountFrequency (%) 
0910.3%
 
<1840.3%
 
>20300.1%
 
(Missing)2990499.3%
 
2020-11-02T14:15:06.055680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_YEARS_LIVED_OUTSIDE_U_S
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing2949
Missing (%)9.8%
Memory size235.2 KiB
0
26274 
<1
 
886
ValueCountFrequency (%) 
02627487.3%
 
<18862.9%
 
(Missing)29499.8%
 
2020-11-02T14:15:06.173755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.4%
Missing30036
Missing (%)99.8%
Memory size235.2 KiB
1
 
73
(Missing)
30036 
ValueCountFrequency (%) 
1730.2%
 
(Missing)3003699.8%
 

APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.3%
Missing29730
Missing (%)98.7%
Memory size235.2 KiB
1
 
379
(Missing)
29730 
ValueCountFrequency (%) 
13791.3%
 
(Missing)2973098.7%
 

APPLICATION_BAKER_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing28621
Missing (%)95.1%
Memory size235.2 KiB
1
 
1488
(Missing)
28621 
ValueCountFrequency (%) 
114884.9%
 
(Missing)2862195.1%
 

APPLICATION_CHANCELLOR_SCHOLAR
Boolean

MISSING

Distinct2
Distinct (%)< 0.1%
Missing22014
Missing (%)73.1%
Memory size235.2 KiB
1
8094 
0
 
1
(Missing)
22014 
ValueCountFrequency (%) 
1809426.9%
 
01< 0.1%
 
(Missing)2201473.1%
 

APPLICATION_DEAN_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.2%
Missing29599
Missing (%)98.3%
Memory size235.2 KiB
1
 
510
(Missing)
29599 
ValueCountFrequency (%) 
15101.7%
 
(Missing)2959998.3%
 

APPLICATION_HALE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing29414
Missing (%)97.7%
Memory size235.2 KiB
1
 
695
(Missing)
29414 
ValueCountFrequency (%) 
16952.3%
 
(Missing)2941497.7%
 

APPLICATION_IMPACT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)0.5%
Missing29926
Missing (%)99.4%
Memory size235.2 KiB
1
 
183
(Missing)
29926 
ValueCountFrequency (%) 
11830.6%
 
(Missing)2992699.4%
 

APPLICATION_LEEDS_SCHOLAR_ADMIT
Boolean

MISSING

Distinct1
Distinct (%)1.3%
Missing30031
Missing (%)99.7%
Memory size235.2 KiB
1
 
78
(Missing)
30031 
ValueCountFrequency (%) 
1780.3%
 
(Missing)3003199.7%
 

APPLICATION_LEEDS_SCHOLAR_APPLICANT
Boolean

MISSING

Distinct1
Distinct (%)0.8%
Missing29986
Missing (%)99.6%
Memory size235.2 KiB
1
 
123
(Missing)
29986 
ValueCountFrequency (%) 
11230.4%
 
(Missing)2998699.6%
 

APPLICATION_MUSIC_SCHOLARSHIP
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing30109
Missing (%)100.0%
Memory size235.4 KiB

APPLICATION_PRESIDENTIAL_SCHOLAR
Boolean

MISSING

Distinct2
Distinct (%)0.2%
Missing29017
Missing (%)96.4%
Memory size235.2 KiB
1
 
1091
0
 
1
(Missing)
29017 
ValueCountFrequency (%) 
110913.6%
 
01< 0.1%
 
(Missing)2901796.4%
 

APPLICATION_REGENT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)0.3%
Missing29773
Missing (%)98.9%
Memory size235.2 KiB
1
 
336
(Missing)
29773 
ValueCountFrequency (%) 
13361.1%
 
(Missing)2977398.9%
 

APPLICATION_SEWALL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing29149
Missing (%)96.8%
Memory size235.2 KiB
1
 
960
(Missing)
29149 
ValueCountFrequency (%) 
19603.2%
 
(Missing)2914996.8%
 

APPLICATION_EXCEL
Categorical

MISSING

Distinct4
Distinct (%)0.9%
Missing29643
Missing (%)98.5%
Memory size235.2 KiB
Excel referral
235 
Excel interview invite
150 
Excel admit
73 
Excel deny
 
8
ValueCountFrequency (%) 
Excel referral2350.8%
 
Excel interview invite1500.5%
 
Excel admit730.2%
 
Excel deny8< 0.1%
 
(Missing)2964398.5%
 
2020-11-02T14:15:06.287957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_TUITION_CLASSIFICATION
Boolean

MISSING

Distinct2
Distinct (%)0.4%
Missing29564
Missing (%)98.2%
Memory size235.2 KiB
1
 
345
0
 
200
(Missing)
29564 
ValueCountFrequency (%) 
13451.1%
 
02000.7%
 
(Missing)2956498.2%
 

APPLICATION_ADMITTED_FROM_WAITLIST
Boolean

MISSING

Distinct1
Distinct (%)0.2%
Missing29555
Missing (%)98.2%
Memory size235.2 KiB
1
 
554
(Missing)
29555 
ValueCountFrequency (%) 
15541.8%
 
(Missing)2955598.2%
 

PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)1.1%
Missing30022
Missing (%)99.7%
Memory size235.2 KiB
1
 
87
(Missing)
30022 
ValueCountFrequency (%) 
1870.3%
 
(Missing)3002299.7%
 

PERSON_PRE_COLLEGIATE_RURAL
Boolean

MISSING

Distinct1
Distinct (%)6.7%
Missing30094
Missing (%)> 99.9%
Memory size235.2 KiB
1
 
15
(Missing)
30094 
ValueCountFrequency (%) 
115< 0.1%
 
(Missing)30094> 99.9%
 

PERSON_PRE_COLLEGIATE_WESTERN_SLOPE
Boolean

MISSING

Distinct1
Distinct (%)2.2%
Missing30064
Missing (%)99.9%
Memory size235.2 KiB
1
 
45
(Missing)
30064 
ValueCountFrequency (%) 
1450.1%
 
(Missing)3006499.9%
 

PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)1.6%
Missing30048
Missing (%)99.8%
Memory size235.2 KiB
1
 
61
(Missing)
30048 
ValueCountFrequency (%) 
1610.2%
 
(Missing)3004899.8%
 

PERSON_DANIEL_S_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.6%
Missing30046
Missing (%)99.8%
Memory size235.2 KiB
1
 
63
(Missing)
30046 
ValueCountFrequency (%) 
1630.2%
 
(Missing)3004699.8%
 

PERSON_ENGINEARME
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing30108
Missing (%)> 99.9%
Memory size235.2 KiB
1
 
1
(Missing)
30108 
ValueCountFrequency (%) 
11< 0.1%
 
(Missing)30108> 99.9%
 

HS_CITY_LOCATION
Categorical

HIGH CARDINALITY
MISSING

Distinct2153
Distinct (%)9.7%
Missing7805
Missing (%)25.9%
Memory size235.2 KiB
Denver
 
810
Highlands Ranch
 
587
Aurora
 
578
Colorado Springs
 
497
Boulder
 
492
Other values (2148)
19340 
ValueCountFrequency (%) 
Denver8102.7%
 
Highlands Ranch5871.9%
 
Aurora5781.9%
 
Colorado Springs4971.7%
 
Boulder4921.6%
 
Littleton3571.2%
 
Greenwood Village3361.1%
 
Fort Collins3181.1%
 
San Diego2490.8%
 
Parker2270.8%
 
Other values (2143)1785359.3%
 
(Missing)780525.9%
 
2020-11-02T14:15:06.443617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique712 ?
Unique (%)3.2%

HS_TOT_ENROLLMENT
Real number (&Ropf≥0)

MISSING

Distinct2244
Distinct (%)8.4%
Missing3493
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean1673.203787
Minimum0
Maximum5934
Zeros3
Zeros (%)< 0.1%
Memory size235.2 KiB
2020-11-02T14:15:06.607336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile420
Q11068
median1642
Q32179
95-th percentile3154
Maximum5934
Range5934
Interquartile range (IQR)1111

Descriptive statistics

Standard deviation840.633882
Coefficient of variation (CV)0.5024097414
Kurtosis0.5834977379
Mean1673.203787
Median Absolute Deviation (MAD)554
Skewness0.5733516353
Sum44533992
Variance706665.3235
MonotocityNot monotonic
2020-11-02T14:15:06.754163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
37203411.1%
 
21793191.1%
 
16842510.8%
 
26032410.8%
 
22662390.8%
 
21031910.6%
 
17121850.6%
 
23321820.6%
 
22501570.5%
 
28871460.5%
 
Other values (2234)2436480.9%
 
(Missing)349311.6%
 
ValueCountFrequency (%) 
03< 0.1%
 
142< 0.1%
 
221< 0.1%
 
283< 0.1%
 
311< 0.1%
 
ValueCountFrequency (%) 
593410< 0.1%
 
5286240.1%
 
5098180.1%
 
47976< 0.1%
 
46091< 0.1%
 

HS_NCES_ID
Categorical

HIGH CARDINALITY
MISSING

Distinct4322
Distinct (%)16.2%
Missing3493
Missing (%)11.6%
Memory size235.2 KiB
080291000186
 
336
080249000114
 
294
A9101574
 
241
080336000338
 
241
080249000101
 
187
Other values (4317)
25317 
ValueCountFrequency (%) 
0802910001863361.1%
 
0802490001142941.0%
 
A91015742410.8%
 
0803360003382410.8%
 
0802490001011870.6%
 
0802490016321830.6%
 
0803450019611820.6%
 
0803450017481810.6%
 
0805310008731530.5%
 
0802910016251460.5%
 
Other values (4312)2447281.3%
 
(Missing)349311.6%
 
2020-11-02T14:15:07.165494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1683 ?
Unique (%)6.3%

HS_NAME
Categorical

HIGH CARDINALITY
MISSING

Distinct4059
Distinct (%)15.3%
Missing3493
Missing (%)11.6%
Memory size235.2 KiB
Cherry Creek High School
 
336
Fairview High School
 
294
East High School
 
262
Regis Jesuit High School
 
241
Boulder High School
 
187
Other values (4054)
25296 
ValueCountFrequency (%) 
Cherry Creek High School3361.1%
 
Fairview High School2941.0%
 
East High School2620.9%
 
Regis Jesuit High School2410.8%
 
Boulder High School1870.6%
 
Monarch High School1840.6%
 
Rock Canyon High School1820.6%
 
Mountain Vista High School1810.6%
 
Arapahoe High School1530.5%
 
Grandview High School1460.5%
 
Other values (4049)2445081.2%
 
(Missing)349311.6%
 
2020-11-02T14:15:07.352007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1520 ?
Unique (%)5.7%

HS_TYPE
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing3493
Missing (%)11.6%
Memory size235.2 KiB
1
26163 
3
 
224
4
 
143
6
 
65
2
 
13
Other values (2)
 
8
ValueCountFrequency (%) 
12616386.9%
 
32240.7%
 
41430.5%
 
6650.2%
 
213< 0.1%
 
76< 0.1%
 
52< 0.1%
 
(Missing)349311.6%
 
2020-11-02T14:15:07.499057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_STATE
Categorical

HIGH CARDINALITY
MISSING

Distinct51
Distinct (%)0.2%
Missing7805
Missing (%)25.9%
Memory size235.2 KiB
CO
7767 
CA
4005 
IL
1482 
TX
1059 
WA
 
653
Other values (46)
7338 
ValueCountFrequency (%) 
CO776725.8%
 
CA400513.3%
 
IL14824.9%
 
TX10593.5%
 
WA6532.2%
 
MA5912.0%
 
NJ5841.9%
 
NY5091.7%
 
FL4001.3%
 
PA4001.3%
 
Other values (41)485416.1%
 
(Missing)780525.9%
 
2020-11-02T14:15:07.649561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_TEACHERS_FTE
Real number (&Ropf≥0)

MISSING

Distinct244
Distinct (%)0.9%
Missing3551
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean94.61537013
Minimum0
Maximum1050
Zeros15
Zeros (%)< 0.1%
Memory size235.2 KiB
2020-11-02T14:15:07.811695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q165
median91
Q3114
95-th percentile181
Maximum1050
Range1050
Interquartile range (IQR)49

Descriptive statistics

Standard deviation45.70143493
Coefficient of variation (CV)0.4830233699
Kurtosis9.17328534
Mean94.61537013
Median Absolute Deviation (MAD)24
Skewness1.376988572
Sum2512795
Variance2088.621155
MonotocityNot monotonic
2020-11-02T14:15:07.962965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
976352.1%
 
1075421.8%
 
1004941.6%
 
1044531.5%
 
1034041.3%
 
803921.3%
 
1813751.2%
 
753721.2%
 
873591.2%
 
903561.2%
 
Other values (234)2217673.7%
 
(Missing)355111.8%
 
ValueCountFrequency (%) 
015< 0.1%
 
112< 0.1%
 
2310.1%
 
38< 0.1%
 
46< 0.1%
 
ValueCountFrequency (%) 
10501< 0.1%
 
3623< 0.1%
 
3276< 0.1%
 
3104< 0.1%
 
284240.1%
 

HS_URBAN_CENTRIC_LOCALE_CODE
Categorical

MISSING

Distinct12
Distinct (%)< 0.1%
Missing3493
Missing (%)11.6%
Memory size235.2 KiB
21
11651 
11
5446 
12
2426 
41
2245 
13
2209 
Other values (7)
2639 
ValueCountFrequency (%) 
211165138.7%
 
11544618.1%
 
1224268.1%
 
4122457.5%
 
1322097.3%
 
226372.1%
 
335641.9%
 
233631.2%
 
313351.1%
 
422941.0%
 
Other values (2)4461.5%
 
(Missing)349311.6%
 
2020-11-02T14:15:08.110958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_ZIP
Categorical

HIGH CARDINALITY
MISSING

Distinct3158
Distinct (%)14.2%
Missing7805
Missing (%)25.9%
Memory size235.2 KiB
80111
 
336
80305
 
294
80016
 
278
80206
 
241
80020
 
225
Other values (3153)
20930 
ValueCountFrequency (%) 
801113361.1%
 
803052941.0%
 
800162780.9%
 
802062410.8%
 
800202250.7%
 
805032080.7%
 
803021950.6%
 
800271830.6%
 
801241820.6%
 
801261810.6%
 
Other values (3148)1998166.4%
 
(Missing)780525.9%
 
2020-11-02T14:15:08.274157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1218 ?
Unique (%)5.5%

HS_ADDRESS
Categorical

HIGH CARDINALITY
MISSING

Distinct3508
Distinct (%)15.7%
Missing7805
Missing (%)25.9%
Memory size235.2 KiB
9300 East Union Avenue
 
336
1515 Greenbriar Boulevard
 
294
1600 City Park Esplanade
 
241
1604 Arapahoe Avenue
 
187
329 Campus Drive
 
183
Other values (3503)
21063 
ValueCountFrequency (%) 
9300 East Union Avenue3361.1%
 
1515 Greenbriar Boulevard2941.0%
 
1600 City Park Esplanade2410.8%
 
1604 Arapahoe Avenue1870.6%
 
329 Campus Drive1830.6%
 
5810 Mcarthur Ranch Road1820.6%
 
10585 Mountain Vista Ridge1810.6%
 
2201 East Dry Creek Road1530.5%
 
20500 East Arapahoe Road1460.5%
 
5400 Ziegler Road1390.5%
 
Other values (3498)2026267.3%
 
(Missing)780525.9%
 
2020-11-02T14:15:08.455564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1412 ?
Unique (%)6.3%

HS_TYPE_VALUE
Categorical

MISSING

Distinct10
Distinct (%)< 0.1%
Missing3493
Missing (%)11.6%
Memory size235.2 KiB
Regular School
21715 
Regular Elementary Or Secondary
4448 
Special Program Emphasis
 
199
Other/Alternative School
 
136
Alternative/Other
 
65
Other values (5)
 
53
ValueCountFrequency (%) 
Regular School2171572.1%
 
Regular Elementary Or Secondary444814.8%
 
Special Program Emphasis1990.7%
 
Other/Alternative School1360.5%
 
Alternative/Other650.2%
 
Vocational School250.1%
 
Montessori13< 0.1%
 
Special Education7< 0.1%
 
Early Childhood Program/Child Care Center6< 0.1%
 
Career/Technical/Vocational2< 0.1%
 
(Missing)349311.6%
 
2020-11-02T14:15:08.604961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_CLASSIFICATION
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing3493
Missing (%)11.6%
Memory size235.2 KiB
Public
21876 
Private
4740 
ValueCountFrequency (%) 
Public2187672.7%
 
Private474015.7%
 
(Missing)349311.6%
 
2020-11-02T14:15:08.723064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_CEEB
Categorical

HIGH CARDINALITY
MISSING

Distinct4336
Distinct (%)16.3%
Missing3493
Missing (%)11.6%
Memory size235.2 KiB
060515
 
336
060118
 
294
060400
 
241
060115
 
187
060130
 
183
Other values (4331)
25375 
ValueCountFrequency (%) 
0605153361.1%
 
0601182941.0%
 
0604002410.8%
 
0601151870.6%
 
0601301830.6%
 
0607481820.6%
 
0607471810.6%
 
0609281530.5%
 
0600811460.5%
 
0606061390.5%
 
Other values (4326)2457481.6%
 
(Missing)349311.6%
 
2020-11-02T14:15:08.883072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1693 ?
Unique (%)6.4%
] [

Dataset statistics

Number of variables123
Number of observations36428
Missing cells2248901
Missing cells (%)50.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.2 MiB
Average record size in memory984.0 B

Variable types

CAT62
BOOL37
NUM13
UNSUPPORTED8
DATE3

Warnings

YEAR has constant value "36428" Constant
APPLICATION_COMMON_APP_ID has a high cardinality: 36411 distinct values High cardinality
PERSON_REFERENCE_ID has a high cardinality: 36427 distinct values High cardinality
PERSON_CU_SIS_ID has a high cardinality: 36427 distinct values High cardinality
PERSON_BIRTHDATE has a high cardinality: 1219 distinct values High cardinality
ADDRESS_STREET_COMBINED has a high cardinality: 35867 distinct values High cardinality
ADDRESS_CITY has a high cardinality: 4348 distinct values High cardinality
ADDRESS_COUNTY has a high cardinality: 808 distinct values High cardinality
ADDRESS_REGION has a high cardinality: 557 distinct values High cardinality
ADDRESS_POSTAL has a high cardinality: 34390 distinct values High cardinality
ADDRESS_US_5_DIGIT_ZIP_CODE has a high cardinality: 5961 distinct values High cardinality
ADDRESS_COUNTRY has a high cardinality: 109 distinct values High cardinality
PERSON_HS_GPA_SR has a high cardinality: 5382 distinct values High cardinality
1_HIGH_SCHOOL_CEEB_CODE has a high cardinality: 6745 distinct values High cardinality
1_HIGH_SCHOOL_NAME has a high cardinality: 8884 distinct values High cardinality
1_HIGH_SCHOOL_REGION has a high cardinality: 234 distinct values High cardinality
1_HIGH_SCHOOL_CITY has a high cardinality: 4672 distinct values High cardinality
APPLICATION_ORIGINAL_ACADEMIC_INTEREST has a high cardinality: 84 distinct values High cardinality
APPLICATION_SUBMITTED_DATE has a high cardinality: 404 distinct values High cardinality
ADMIT_DECISION_RELEASED_DATE has a high cardinality: 138 distinct values High cardinality
ADMIT_DECISION_RECEIVED_DATE has a high cardinality: 9339 distinct values High cardinality
DEPOSIT_DECISION_CONFIRMED_DATE has a high cardinality: 3587 distinct values High cardinality
MOST_RECENT_ON_CAMPUS_EVENT has a high cardinality: 62 distinct values High cardinality
HS_CITY_LOCATION has a high cardinality: 2329 distinct values High cardinality
HS_NCES_ID has a high cardinality: 4633 distinct values High cardinality
HS_NAME has a high cardinality: 4358 distinct values High cardinality
HS_STATE has a high cardinality: 52 distinct values High cardinality
HS_ZIP has a high cardinality: 3370 distinct values High cardinality
HS_ADDRESS has a high cardinality: 3752 distinct values High cardinality
HS_CEEB has a high cardinality: 4644 distinct values High cardinality
PERSON_MULTIPLE_APPLICATIONS has 36353 (99.8%) missing values Missing
ETHNICITY has 496 (1.4%) missing values Missing
ADDRESS_COUNTY has 1899 (5.2%) missing values Missing
ADDRESS_REGION has 458 (1.3%) missing values Missing
PERSON_HOME_SCHOOL has 36388 (99.9%) missing values Missing
PERSON_ACT_MAX_COMPOSITE has 20042 (55.0%) missing values Missing
PERSON_SATI_MAX_TOTAL has 36414 (> 99.9%) missing values Missing
PERSON_SATR_MAX_COMPS has 12435 (34.1%) missing values Missing
PERSON_24_OR_MORE_HOURS_COLLEGE_WORK has 36343 (99.8%) missing values Missing
PERSON_APPLICANT_FIRST_GENERATION has 31757 (87.2%) missing values Missing
PARENT_CU_ATTENDANCE has 36398 (99.9%) missing values Missing
PARENT_CU_EMPLOYMENT has 36343 (99.8%) missing values Missing
PERSON_ENGLISH_NATIVE_LANGUAGE has 36352 (99.8%) missing values Missing
PERSON_GROSS_FAMILY_INCOME has 11281 (31.0%) missing values Missing
PERSON_FAFSA_SUBMITTED has 13595 (37.3%) missing values Missing
PERSON_MILITARY_STATUS has 36401 (99.9%) missing values Missing
PERSON_HS_RANK_PERCENTILE has 23777 (65.3%) missing values Missing
PERSON_HS_EQUIVALENCY has 36379 (99.9%) missing values Missing
PERSON_CUMULATIVE_GPA has 33418 (91.7%) missing values Missing
PERSON_HS_GPA_CONVERT has 454 (1.2%) missing values Missing
PERSON_HS_GPA_SR has 9737 (26.7%) missing values Missing
1_HIGH_SCHOOL_REGION has 1269 (3.5%) missing values Missing
1_HIGH_SCHOOL_HONORS has 36428 (100.0%) missing values Missing
CUB_IS__1_CHOICE has 25469 (69.9%) missing values Missing
ADMIT_DECISION_RECEIVED_DATE has 3034 (8.3%) missing values Missing
DEPOSIT_DECISION_CONFIRMED_DATE has 28842 (79.2%) missing values Missing
APPLICATION_HOUSING_APPLICATION_COMPLETED has 30172 (82.8%) missing values Missing
PAST_APP_HISTORY has 36343 (99.8%) missing values Missing
PERSON_ENGAGEMENT has 25102 (68.9%) missing values Missing
MOST_RECENT_ON_CAMPUS_EVENT has 26132 (71.7%) missing values Missing
DATE_MOST_RECENT_ON_CAMPUS_EVENT has 26132 (71.7%) missing values Missing
DEPOSIT_PAID_CREATED_DATE has 28842 (79.2%) missing values Missing
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION has 36423 (> 99.9%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE has 36428 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT has 36428 (100.0%) missing values Missing
RELATION_SIBLING_HIGHEST_EDUCATION has 36425 (> 99.9%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT has 36424 (> 99.9%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE has 36424 (> 99.9%) missing values Missing
RELATION_STEP_PARENT_HIGHEST_EDUCATION has 36425 (> 99.9%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE has 36425 (> 99.9%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT has 36425 (> 99.9%) missing values Missing
RELATION_GRANDPARENT_HIGHEST_EDUCATION has 36428 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT has 36428 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE has 36428 (100.0%) missing values Missing
APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC has 29860 (82.0%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT has 36420 (> 99.9%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT has 36377 (99.9%) missing values Missing
APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL has 36420 (> 99.9%) missing values Missing
PERSON_YEARS_LIVED_IN_U_S has 34971 (96.0%) missing values Missing
PERSON_YEARS_LIVED_OUTSIDE_U_S has 4438 (12.2%) missing values Missing
APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR has 36357 (99.8%) missing values Missing
APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR has 36063 (99.0%) missing values Missing
APPLICATION_BAKER_SCHOLAR has 34927 (95.9%) missing values Missing
APPLICATION_CHANCELLOR_SCHOLAR has 28231 (77.5%) missing values Missing
APPLICATION_DEAN_SCHOLAR has 35986 (98.8%) missing values Missing
APPLICATION_HALE_SCHOLAR has 35680 (97.9%) missing values Missing
APPLICATION_IMPACT_SCHOLARSHIP has 36317 (99.7%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_ADMIT has 36344 (99.8%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_APPLICANT has 36428 (100.0%) missing values Missing
APPLICATION_MUSIC_SCHOLARSHIP has 36427 (> 99.9%) missing values Missing
APPLICATION_PRESIDENTIAL_SCHOLAR has 35116 (96.4%) missing values Missing
APPLICATION_REGENT_SCHOLARSHIP has 36089 (99.1%) missing values Missing
APPLICATION_SEWALL_SCHOLAR has 35371 (97.1%) missing values Missing
APPLICATION_EXCEL has 35932 (98.6%) missing values Missing
PERSON_TUITION_CLASSIFICATION has 36411 (> 99.9%) missing values Missing
APPLICATION_ADMITTED_FROM_WAITLIST has 36132 (99.2%) missing values Missing
PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS has 36346 (99.8%) missing values Missing
PERSON_PRE_COLLEGIATE_RURAL has 36420 (> 99.9%) missing values Missing
PERSON_PRE_COLLEGIATE_WESTERN_SLOPE has 36361 (99.8%) missing values Missing
PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS has 36311 (99.7%) missing values Missing
PERSON_DANIEL_S_SCHOLAR has 36373 (99.8%) missing values Missing
PERSON_ENGINEARME has 36428 (100.0%) missing values Missing
HS_CITY_LOCATION has 10609 (29.1%) missing values Missing
HS_TOT_ENROLLMENT has 5514 (15.1%) missing values Missing
HS_NCES_ID has 5512 (15.1%) missing values Missing
HS_NAME has 5512 (15.1%) missing values Missing
HS_TYPE has 5512 (15.1%) missing values Missing
HS_STATE has 10609 (29.1%) missing values Missing
HS_TEACHERS_FTE has 5578 (15.3%) missing values Missing
HS_URBAN_CENTRIC_LOCALE_CODE has 5512 (15.1%) missing values Missing
HS_ZIP has 10609 (29.1%) missing values Missing
HS_ADDRESS has 10609 (29.1%) missing values Missing
HS_TYPE_VALUE has 5512 (15.1%) missing values Missing
HS_CLASSIFICATION has 5512 (15.1%) missing values Missing
HS_CEEB has 5512 (15.1%) missing values Missing
df_index has unique values Unique
1_HIGH_SCHOOL_HONORS is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_LEEDS_SCHOLAR_APPLICANT is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_ENGINEARME is an unsupported type, check if it needs cleaning or further analysis Unsupported
TOTAL_PING_TIME__SEC has 1685 (4.6%) zeros Zeros
ON_CAMPUS_ENGAGEMENT_COUNT has 26132 (71.7%) zeros Zeros
OFF_CAMPUS_ENGAGEMENT_COUNT has 32238 (88.5%) zeros Zeros

Reproduction

Analysis started2020-11-02 21:15:11.658536
Analysis finished2020-11-02 21:15:16.919738
Duration5.26 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml
,

df_index
Real number (&Ropf≥0)

UNIQUE

Distinct36428
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74281.80199
Minimum37
Maximum95114
Zeros0
Zeros (%)0.0%
Memory size284.6 KiB
2020-11-02T14:15:17.011559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile37973.4
Q166819.75
median76185.5
Q385582.25
95-th percentile93183.65
Maximum95114
Range95077
Interquartile range (IQR)18762.5

Descriptive statistics

Standard deviation16122.00858
Coefficient of variation (CV)0.217038469
Kurtosis5.438754785
Mean74281.80199
Median Absolute Deviation (MAD)9381
Skewness-1.899427473
Sum2705937483
Variance259919160.7
MonotocityStrictly increasing
2020-11-02T14:15:17.162611image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20471< 0.1%
 
710481< 0.1%
 
751501< 0.1%
 
812931< 0.1%
 
792441< 0.1%
 
690031< 0.1%
 
669541< 0.1%
 
730971< 0.1%
 
935751< 0.1%
 
628681< 0.1%
 
Other values (36418)36418> 99.9%
 
ValueCountFrequency (%) 
371< 0.1%
 
551< 0.1%
 
561< 0.1%
 
581< 0.1%
 
681< 0.1%
 
ValueCountFrequency (%) 
951141< 0.1%
 
951131< 0.1%
 
951121< 0.1%
 
951111< 0.1%
 
951101< 0.1%
 

APPLICATION_COMMON_APP_ID
Categorical

HIGH CARDINALITY

Distinct36411
Distinct (%)100.0%
Missing17
Missing (%)< 0.1%
Memory size284.6 KiB
24557118-2020
 
1
25068659-2020
 
1
22712673-2020
 
1
22885735-2020
 
1
24939379-2020
 
1
Other values (36406)
36406 
ValueCountFrequency (%) 
24557118-20201< 0.1%
 
25068659-20201< 0.1%
 
22712673-20201< 0.1%
 
22885735-20201< 0.1%
 
24939379-20201< 0.1%
 
24899909-20201< 0.1%
 
23105775-20201< 0.1%
 
22620344-20201< 0.1%
 
24038565-20201< 0.1%
 
24731337-20201< 0.1%
 
Other values (36401)3640199.9%
 
(Missing)17< 0.1%
 
2020-11-02T14:15:17.639662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique36411 ?
Unique (%)100.0%

PERSON_REFERENCE_ID
Categorical

HIGH CARDINALITY

Distinct36427
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
13383843
 
2
579267197
 
1
46584330
 
1
226037600
 
1
679535506
 
1
Other values (36422)
36422 
ValueCountFrequency (%) 
133838432< 0.1%
 
5792671971< 0.1%
 
465843301< 0.1%
 
2260376001< 0.1%
 
6795355061< 0.1%
 
2704164201< 0.1%
 
2396778081< 0.1%
 
2566463181< 0.1%
 
3565407341< 0.1%
 
9162799721< 0.1%
 
Other values (36417)36417> 99.9%
 
2020-11-02T14:15:17.874502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique36426 ?
Unique (%)> 99.9%

PERSON_CU_SIS_ID
Categorical

HIGH CARDINALITY

Distinct36427
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
109613756.0
 
2
109685622.0
 
1
109765839.0
 
1
109821486.0
 
1
109428601.0
 
1
Other values (36422)
36422 
ValueCountFrequency (%) 
109613756.02< 0.1%
 
109685622.01< 0.1%
 
109765839.01< 0.1%
 
109821486.01< 0.1%
 
109428601.01< 0.1%
 
109798800.01< 0.1%
 
109919007.01< 0.1%
 
109822365.01< 0.1%
 
109890729.01< 0.1%
 
109902588.01< 0.1%
 
Other values (36417)36417> 99.9%
 
2020-11-02T14:15:18.108795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique36426 ?
Unique (%)> 99.9%

YEAR
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
2020
36428 
ValueCountFrequency (%) 
202036428100.0%
 
2020-11-02T14:15:18.248297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_FINAL_TERM
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
2020 Fall
36112 
2020 Spr
 
181
2020 Sum
 
135
ValueCountFrequency (%) 
2020 Fall3611299.1%
 
2020 Spr1810.5%
 
2020 Sum1350.4%
 
2020-11-02T14:15:18.368554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_APPLIED_TERM
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
2020 Fall
35757 
2019 Fall
 
348
2020 Spr
 
163
2020 Sum
 
150
2018 Fall
 
6
Other values (2)
 
4
ValueCountFrequency (%) 
2020 Fall3575798.2%
 
2019 Fall3481.0%
 
2020 Spr1630.4%
 
2020 Sum1500.4%
 
2018 Fall6< 0.1%
 
2019 Sum3< 0.1%
 
2019 Spr1< 0.1%
 
2020-11-02T14:15:18.499440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

RESIDENCY_STATUS
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
Non-Resident
24693 
Resident
10136 
Non-Resident International
 
1599
ValueCountFrequency (%) 
Non-Resident2469367.8%
 
Resident1013627.8%
 
Non-Resident International15994.4%
 
2020-11-02T14:15:18.616592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_MULTIPLE_APPLICATIONS
Boolean

MISSING

Distinct1
Distinct (%)1.3%
Missing36353
Missing (%)99.8%
Memory size284.6 KiB
1
 
75
(Missing)
36353 
ValueCountFrequency (%) 
1750.2%
 
(Missing)3635399.8%
 

PERSON_SEX
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
F
18734 
M
17694 
ValueCountFrequency (%) 
F1873451.4%
 
M1769448.6%
 
2020-11-02T14:15:18.721879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ETHNICITY
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing496
Missing (%)1.4%
Memory size284.6 KiB
White
25004 
Hispanic
5021 
Asian
4634 
Black or African American
 
650
American Indian or Alaska Native
 
419
ValueCountFrequency (%) 
White2500468.6%
 
Hispanic502113.8%
 
Asian463412.7%
 
Black or African American6501.8%
 
American Indian or Alaska Native4191.2%
 
Native Hawaiian or Other Pacific Islander2040.6%
 
(Missing)4961.4%
 
2020-11-02T14:15:18.832729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_BIRTHDATE
Categorical

HIGH CARDINALITY

Distinct1219
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
2001-12-27
 
136
2001-12-20
 
125
2002-05-21
 
125
2002-04-22
 
123
2002-03-22
 
123
Other values (1214)
35796 
ValueCountFrequency (%) 
2001-12-271360.4%
 
2001-12-201250.3%
 
2002-05-211250.3%
 
2002-04-221230.3%
 
2002-03-221230.3%
 
2002-04-161210.3%
 
2002-03-271190.3%
 
2001-11-081190.3%
 
2002-03-071180.3%
 
2002-02-221170.3%
 
Other values (1209)3520296.6%
 
2020-11-02T14:15:18.981998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique312 ?
Unique (%)0.9%

ADDRESS_STREET_COMBINED
Categorical

HIGH CARDINALITY

Distinct35867
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
nan
 
136
Office of Educational Affairs Royal Thai Embassy 1906 23rd Street, N.W.
 
7
Office of Educational Affairs Royal Thai Embassy 1906 23rd Street, NW
 
4
3-9D, Beijing Keji Huizhan Zhongxin No.48 Beisanhuan Xilu
 
4
16315 Hawkstone Pl
 
3
Other values (35862)
36274 
ValueCountFrequency (%) 
nan1360.4%
 
Office of Educational Affairs Royal Thai Embassy 1906 23rd Street, N.W.7< 0.1%
 
Office of Educational Affairs Royal Thai Embassy 1906 23rd Street, NW4< 0.1%
 
3-9D, Beijing Keji Huizhan Zhongxin No.48 Beisanhuan Xilu4< 0.1%
 
16315 Hawkstone Pl3< 0.1%
 
5090 S Huron St3< 0.1%
 
1629 W Silver Crest Dr3< 0.1%
 
5670 Ocean View Dr3< 0.1%
 
225 Via Pasqual3< 0.1%
 
27351 E Lakeview Dr3< 0.1%
 
Other values (35857)3625999.5%
 
2020-11-02T14:15:19.225435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique35457 ?
Unique (%)97.3%

ADDRESS_CITY
Categorical

HIGH CARDINALITY

Distinct4348
Distinct (%)12.0%
Missing135
Missing (%)0.4%
Memory size284.6 KiB
Denver
 
1362
Aurora
 
691
Colorado Spgs
 
535
Boulder
 
492
Littleton
 
432
Other values (4343)
32781 
ValueCountFrequency (%) 
Denver13623.7%
 
Aurora6911.9%
 
Colorado Spgs5351.5%
 
Boulder4921.4%
 
Littleton4321.2%
 
Hghlnds Ranch4171.1%
 
Austin3671.0%
 
Centennial3471.0%
 
Fort Collins3440.9%
 
Longmont3400.9%
 
Other values (4338)3096685.0%
 
2020-11-02T14:15:19.416680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1936 ?
Unique (%)5.3%

ADDRESS_COUNTY
Categorical

HIGH CARDINALITY
MISSING

Distinct808
Distinct (%)2.3%
Missing1899
Missing (%)5.2%
Memory size284.6 KiB
Arapahoe
 
1504
Los Angeles
 
1440
Douglas
 
1399
Boulder
 
1329
Denver
 
1265
Other values (803)
27592 
ValueCountFrequency (%) 
Arapahoe15044.1%
 
Los Angeles14404.0%
 
Douglas13993.8%
 
Boulder13293.6%
 
Denver12653.5%
 
Jefferson12433.4%
 
Orange9832.7%
 
Santa Clara9362.6%
 
El Paso8612.4%
 
Cook8592.4%
 
Other values (798)2271062.3%
 
(Missing)18995.2%
 
2020-11-02T14:15:19.599882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique197 ?
Unique (%)0.6%

ADDRESS_REGION
Categorical

HIGH CARDINALITY
MISSING

Distinct557
Distinct (%)1.5%
Missing458
Missing (%)1.3%
Memory size284.6 KiB
CO
10264 
CA
7145 
TX
1975 
IL
1831 
WA
 
1017
Other values (552)
13738 
ValueCountFrequency (%) 
CO1026428.2%
 
CA714519.6%
 
TX19755.4%
 
IL18315.0%
 
WA10172.8%
 
NY10102.8%
 
MA9232.5%
 
FL8542.3%
 
NJ8042.2%
 
MD6161.7%
 
Other values (547)953126.2%
 
2020-11-02T14:15:19.777033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique315 ?
Unique (%)0.9%

ADDRESS_POSTAL
Categorical

HIGH CARDINALITY

Distinct34390
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
nan
 
494
20008
 
22
81620
 
21
518000
 
17
00000
 
17
Other values (34385)
35857 
ValueCountFrequency (%) 
nan4941.4%
 
20008220.1%
 
81620210.1%
 
51800017< 0.1%
 
0000017< 0.1%
 
81631-16< 0.1%
 
9206712< 0.1%
 
8042411< 0.1%
 
313118< 0.1%
 
5601038< 0.1%
 
Other values (34380)3580298.3%
 
2020-11-02T14:15:20.006217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique33144 ?
Unique (%)91.0%

ADDRESS_US_5_DIGIT_ZIP_CODE
Categorical

HIGH CARDINALITY

Distinct5961
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
nan
 
1853
80016.0
 
265
80126.0
 
263
80027.0
 
243
80111.0
 
235
Other values (5956)
33569 
ValueCountFrequency (%) 
nan18535.1%
 
80016.02650.7%
 
80126.02630.7%
 
80027.02430.7%
 
80111.02350.6%
 
80134.02050.6%
 
80503.01770.5%
 
80130.01730.5%
 
80108.01700.5%
 
80023.01640.5%
 
Other values (5951)3268089.7%
 
2020-11-02T14:15:20.193912image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2534 ?
Unique (%)7.0%

ADDRESS_COUNTRY
Categorical

HIGH CARDINALITY

Distinct109
Distinct (%)0.3%
Missing134
Missing (%)0.4%
Memory size284.6 KiB
United States
34575 
China
 
360
India
 
239
Kuwait
 
101
Saudi Arabia
 
100
Other values (104)
 
919
ValueCountFrequency (%) 
United States3457594.9%
 
China3601.0%
 
India2390.7%
 
Kuwait1010.3%
 
Saudi Arabia1000.3%
 
Brazil740.2%
 
United Arab Emirates650.2%
 
Mexico500.1%
 
South Korea360.1%
 
United Kingdom360.1%
 
Other values (99)6581.8%
 
(Missing)1340.4%
 
2020-11-02T14:15:20.371754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

PERSON_HOME_SCHOOL
Boolean

MISSING

Distinct1
Distinct (%)2.5%
Missing36388
Missing (%)99.9%
Memory size284.6 KiB
1
 
40
(Missing)
36388 
ValueCountFrequency (%) 
1400.1%
 
(Missing)3638899.9%
 

PERSON_ACT_MAX_COMPOSITE
Real number (&Ropf≥0)

MISSING

Distinct24
Distinct (%)0.1%
Missing20042
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean28.59288417
Minimum11
Maximum36
Zeros0
Zeros (%)0.0%
Memory size284.6 KiB
2020-11-02T14:15:20.509577image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile21
Q126
median29
Q332
95-th percentile35
Maximum36
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.184420662
Coefficient of variation (CV)0.1463448261
Kurtosis-0.3981568277
Mean28.59288417
Median Absolute Deviation (MAD)3
Skewness-0.4105712094
Sum468523
Variance17.50937628
MonotocityNot monotonic
2020-11-02T14:15:20.635751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
3014514.0%
 
3113373.7%
 
2913173.6%
 
2813133.6%
 
3212963.6%
 
3312653.5%
 
2712543.4%
 
2611913.3%
 
3410873.0%
 
259702.7%
 
Other values (14)390510.7%
 
(Missing)2004255.0%
 
ValueCountFrequency (%) 
111< 0.1%
 
145< 0.1%
 
1510< 0.1%
 
16270.1%
 
17600.2%
 
ValueCountFrequency (%) 
362080.6%
 
358022.2%
 
3410873.0%
 
3312653.5%
 
3212963.6%
 

PERSON_SATI_MAX_TOTAL
Real number (&Ropf≥0)

MISSING

Distinct13
Distinct (%)92.9%
Missing36414
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1170
Minimum780
Maximum1400
Zeros0
Zeros (%)0.0%
Memory size284.6 KiB
2020-11-02T14:15:20.752004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum780
5-th percentile923
Q11092.5
median1170
Q31267.5
95-th percentile1400
Maximum1400
Range620
Interquartile range (IQR)175

Descriptive statistics

Standard deviation166.0861686
Coefficient of variation (CV)0.1419539902
Kurtosis1.131159546
Mean1170
Median Absolute Deviation (MAD)85
Skewness-0.6692243755
Sum16380
Variance27584.61538
MonotocityNot monotonic
2020-11-02T14:15:20.859485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
14002< 0.1%
 
11201< 0.1%
 
10001< 0.1%
 
12301< 0.1%
 
11001< 0.1%
 
13501< 0.1%
 
10901< 0.1%
 
12101< 0.1%
 
10801< 0.1%
 
12801< 0.1%
 
Other values (3)3< 0.1%
 
(Missing)36414> 99.9%
 
ValueCountFrequency (%) 
7801< 0.1%
 
10001< 0.1%
 
10801< 0.1%
 
10901< 0.1%
 
11001< 0.1%
 
ValueCountFrequency (%) 
14002< 0.1%
 
13501< 0.1%
 
12801< 0.1%
 
12301< 0.1%
 
12101< 0.1%
 

PERSON_SATR_MAX_COMPS
Real number (&Ropf≥0)

MISSING

Distinct96
Distinct (%)0.4%
Missing12435
Missing (%)34.1%
Infinite0
Infinite (%)0.0%
Mean1267.681699
Minimum37
Maximum1600
Zeros0
Zeros (%)0.0%
Memory size284.6 KiB
2020-11-02T14:15:20.994914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile1020
Q11170
median1270
Q31370
95-th percentile1510
Maximum1600
Range1563
Interquartile range (IQR)200

Descriptive statistics

Standard deviation147.9259433
Coefficient of variation (CV)0.1166901308
Kurtosis-0.0453931375
Mean1267.681699
Median Absolute Deviation (MAD)100
Skewness-0.2288292177
Sum30415487
Variance21882.0847
MonotocityNot monotonic
2020-11-02T14:15:21.148845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
12406641.8%
 
12306471.8%
 
12606321.7%
 
12206231.7%
 
13006041.7%
 
12706041.7%
 
12506031.7%
 
13106011.6%
 
12805841.6%
 
12105821.6%
 
Other values (86)1784949.0%
 
(Missing)1243534.1%
 
ValueCountFrequency (%) 
371< 0.1%
 
6101< 0.1%
 
6401< 0.1%
 
6601< 0.1%
 
6801< 0.1%
 
ValueCountFrequency (%) 
160011< 0.1%
 
1590350.1%
 
1580550.2%
 
1570830.2%
 
15601020.3%
 

PERSON_24_OR_MORE_HOURS_COLLEGE_WORK
Boolean

MISSING

Distinct2
Distinct (%)2.4%
Missing36343
Missing (%)99.8%
Memory size284.6 KiB
0
 
56
1
 
29
(Missing)
36343 
ValueCountFrequency (%) 
0560.2%
 
1290.1%
 
(Missing)3634399.8%
 

PERSON_APPLICANT_FIRST_GENERATION
Categorical

MISSING

Distinct1
Distinct (%)< 0.1%
Missing31757
Missing (%)87.2%
Memory size284.6 KiB
Yes
4671 
ValueCountFrequency (%) 
Yes467112.8%
 
(Missing)3175787.2%
 
2020-11-02T14:15:21.297381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAMILY_SIZE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
nan
36323 
11+
 
105
ValueCountFrequency (%) 
nan3632399.7%
 
11+1050.3%
 
2020-11-02T14:15:21.409381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PARENT_HIGHEST_EDUCATION
Categorical

Distinct9
Distinct (%)< 0.1%
Missing63
Missing (%)0.2%
Memory size284.6 KiB
G. Bachelor's Level Degree
16143 
H. Some Graduate School
12244 
C. High School Graduate or Equivalent
2903 
D. Some College
2243 
E. Technical School
 
1428
Other values (4)
 
1404
ValueCountFrequency (%) 
G. Bachelor's Level Degree1614344.3%
 
H. Some Graduate School1224433.6%
 
C. High School Graduate or Equivalent29038.0%
 
D. Some College22436.2%
 
E. Technical School14283.9%
 
B. Less Than High School Graduate12863.5%
 
A. Not Indicated1140.3%
 
I. Master's Level Degree3< 0.1%
 
F. 2-Year College Degree1< 0.1%
 
(Missing)630.2%
 
2020-11-02T14:15:21.536235image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

PARENT_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)6.7%
Missing36398
Missing (%)99.9%
Memory size284.6 KiB
0
 
28
1
 
2
(Missing)
36398 
ValueCountFrequency (%) 
0280.1%
 
12< 0.1%
 
(Missing)3639899.9%
 

PARENT_CU_EMPLOYMENT
Boolean

MISSING

Distinct2
Distinct (%)2.4%
Missing36343
Missing (%)99.8%
Memory size284.6 KiB
1
 
57
0
 
28
(Missing)
36343 
ValueCountFrequency (%) 
1570.2%
 
0280.1%
 
(Missing)3634399.8%
 

PERSON_ENGLISH_NATIVE_LANGUAGE
Boolean

MISSING

Distinct2
Distinct (%)2.6%
Missing36352
Missing (%)99.8%
Memory size284.6 KiB
1
 
67
0
 
9
(Missing)
36352 
ValueCountFrequency (%) 
1670.2%
 
09< 0.1%
 
(Missing)3635299.8%
 

PERSON_NATIVE_LANGUAGE
Categorical

Distinct46
Distinct (%)0.1%
Missing217
Missing (%)0.6%
Memory size284.6 KiB
EN
33687 
SP
 
1098
CM
 
314
AR
 
196
FR
 
116
Other values (41)
 
800
ValueCountFrequency (%) 
EN3368792.5%
 
SP10983.0%
 
CM3140.9%
 
AR1960.5%
 
FR1160.3%
 
RU800.2%
 
PO790.2%
 
VI660.2%
 
KO570.2%
 
GE560.2%
 
Other values (36)4621.3%
 
(Missing)2170.6%
 
2020-11-02T14:15:21.689903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)< 0.1%

PERSON_GROSS_FAMILY_INCOME
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing11281
Missing (%)31.0%
Memory size284.6 KiB
G. More than $150,000
13905 
F. $100,000 - $149,999
4360 
E. $75,000 - $99,999
1971 
C. $35,000 - $59,999
1776 
B. $15,000 - $34,999
 
1235
Other values (2)
1900 
ValueCountFrequency (%) 
G. More than $150,0001390538.2%
 
F. $100,000 - $149,999436012.0%
 
E. $75,000 - $99,99919715.4%
 
C. $35,000 - $59,99917764.9%
 
B. $15,000 - $34,99912353.4%
 
D. $60,000 - $74,99912283.4%
 
A. $0 - $15,0006721.8%
 
(Missing)1128131.0%
 
2020-11-02T14:15:21.832473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAFSA_SUBMITTED
Boolean

MISSING

Distinct1
Distinct (%)< 0.1%
Missing13595
Missing (%)37.3%
Memory size284.6 KiB
1
22833 
(Missing)
13595 
ValueCountFrequency (%) 
12283362.7%
 
(Missing)1359537.3%
 

PERSON_MILITARY_STATUS
Categorical

MISSING

Distinct3
Distinct (%)11.1%
Missing36401
Missing (%)99.9%
Memory size284.6 KiB
Previously Served
19 
Current Dependent
4 
On Active Duty U.S. Military
4 
ValueCountFrequency (%) 
Previously Served190.1%
 
Current Dependent4< 0.1%
 
On Active Duty U.S. Military4< 0.1%
 
(Missing)3640199.9%
 
2020-11-02T14:15:22.262516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_HS_RANK_PERCENTILE
Real number (&Ropf)

MISSING

Distinct104
Distinct (%)0.8%
Missing23777
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean76.59489368
Minimum-1140
Maximum100
Zeros3
Zeros (%)< 0.1%
Memory size284.6 KiB
2020-11-02T14:15:22.394058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1140
5-th percentile39
Q165
median81
Q393
95-th percentile99
Maximum100
Range1240
Interquartile range (IQR)28

Descriptive statistics

Standard deviation23.73427473
Coefficient of variation (CV)0.309867585
Kurtosis725.2270685
Mean76.59489368
Median Absolute Deviation (MAD)13
Skewness-16.01562857
Sum969002
Variance563.3157968
MonotocityNot monotonic
2020-11-02T14:15:22.546174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1005031.4%
 
994471.2%
 
984041.1%
 
963901.1%
 
953871.1%
 
973841.1%
 
903641.0%
 
933440.9%
 
893270.9%
 
913210.9%
 
Other values (94)878024.1%
 
(Missing)2377765.3%
 
ValueCountFrequency (%) 
-11401< 0.1%
 
-8401< 0.1%
 
-2831< 0.1%
 
-1551< 0.1%
 
-631< 0.1%
 
ValueCountFrequency (%) 
1005031.4%
 
994471.2%
 
984041.1%
 
973841.1%
 
963901.1%
 

PERSON_HS_EQUIVALENCY
Boolean

MISSING

Distinct1
Distinct (%)2.0%
Missing36379
Missing (%)99.9%
Memory size284.6 KiB
1
 
49
(Missing)
36379 
ValueCountFrequency (%) 
1490.1%
 
(Missing)3637999.9%
 

PERSON_CUMULATIVE_GPA
Real number (&Ropf≥0)

MISSING

Distinct505
Distinct (%)16.8%
Missing33418
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean3.552327575
Minimum0
Maximum6
Zeros3
Zeros (%)< 0.1%
Memory size284.6 KiB
2020-11-02T14:15:22.701743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.33345
Q13.25
median3.7585
Q34
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.5794551597
Coefficient of variation (CV)0.1631198552
Kurtosis3.638762158
Mean3.552327575
Median Absolute Deviation (MAD)0.2415
Skewness-1.636326353
Sum10692.506
Variance0.3357682822
MonotocityNot monotonic
2020-11-02T14:15:22.845808image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
412103.3%
 
32850.8%
 
3.71330.4%
 
3.5760.2%
 
3.3750.2%
 
2710.2%
 
2.7560.2%
 
3.85410.1%
 
3.667320.1%
 
3.75280.1%
 
Other values (495)10032.8%
 
(Missing)3341891.7%
 
ValueCountFrequency (%) 
03< 0.1%
 
0.3332< 0.1%
 
0.5711< 0.1%
 
16< 0.1%
 
1.0371< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
51< 0.1%
 
4.3751< 0.1%
 
4.0671< 0.1%
 
412103.3%
 

PERSON_HS_GPA_CONVERT
Real number (&Ropf≥0)

MISSING

Distinct1362
Distinct (%)3.8%
Missing454
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean3.722965586
Minimum0.54
Maximum4
Zeros0
Zeros (%)0.0%
Memory size284.6 KiB
2020-11-02T14:15:22.999416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.54
5-th percentile3.09
Q13.52
median3.837
Q34
95-th percentile4
Maximum4
Range3.46
Interquartile range (IQR)0.48

Descriptive statistics

Standard deviation0.3206472567
Coefficient of variation (CV)0.08612683873
Kurtosis1.011154148
Mean3.722965586
Median Absolute Deviation (MAD)0.163
Skewness-1.163748657
Sum133929.964
Variance0.1028146632
MonotocityNot monotonic
2020-11-02T14:15:23.149650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
41293835.5%
 
3.52380.7%
 
3.91870.5%
 
3.751820.5%
 
3.71790.5%
 
3.61580.4%
 
3.761540.4%
 
3.81520.4%
 
3.931480.4%
 
3.951470.4%
 
Other values (1352)2149159.0%
 
(Missing)4541.2%
 
ValueCountFrequency (%) 
0.541< 0.1%
 
1.891< 0.1%
 
1.971< 0.1%
 
21< 0.1%
 
2.061< 0.1%
 
ValueCountFrequency (%) 
41293835.5%
 
3.9992< 0.1%
 
3.9988< 0.1%
 
3.9979< 0.1%
 
3.99615< 0.1%
 

PERSON_HS_GPA_SR
Categorical

HIGH CARDINALITY
MISSING

Distinct5382
Distinct (%)20.2%
Missing9737
Missing (%)26.7%
Memory size284.6 KiB
4.00
 
400
3.70
 
273
3.30
 
242
3.95
 
227
3.75
 
218
Other values (5377)
25331 
ValueCountFrequency (%) 
4.004001.1%
 
3.702730.7%
 
3.302420.7%
 
3.952270.6%
 
3.752180.6%
 
3.651690.5%
 
3.831670.5%
 
3.891650.5%
 
3.851640.5%
 
3.971610.4%
 
Other values (5372)2450567.3%
 
(Missing)973726.7%
 
2020-11-02T14:15:23.340065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3106 ?
Unique (%)11.6%

1_HIGH_SCHOOL_CEEB_CODE
Categorical

HIGH CARDINALITY

Distinct6745
Distinct (%)18.5%
Missing4
Missing (%)< 0.1%
Memory size284.6 KiB
060515
 
373
060118
 
294
060400
 
240
060115
 
238
060748
 
229
Other values (6740)
35050 
ValueCountFrequency (%) 
0605153731.0%
 
0601182940.8%
 
0604002400.7%
 
0601152380.7%
 
0607482290.6%
 
0607471980.5%
 
0601301910.5%
 
0609281900.5%
 
0601631630.4%
 
0600861430.4%
 
Other values (6735)3416593.8%
 
2020-11-02T14:15:23.529110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3158 ?
Unique (%)8.7%

1_HIGH_SCHOOL_NAME
Categorical

HIGH CARDINALITY

Distinct8884
Distinct (%)24.4%
Missing1
Missing (%)< 0.1%
Memory size284.6 KiB
Cherry Creek High School
 
253
Fairview High School
 
231
Boulder High School
 
184
Rock Canyon High School
 
181
East High School
 
165
Other values (8879)
35413 
ValueCountFrequency (%) 
Cherry Creek High School2530.7%
 
Fairview High School2310.6%
 
Boulder High School1840.5%
 
Rock Canyon High School1810.5%
 
East High School1650.5%
 
Mountain Vista High School1640.5%
 
Monarch High School1440.4%
 
Arapahoe High School1370.4%
 
CHERRY CREEK HIGH SCHOOL1200.3%
 
New Trier Township High School1140.3%
 
Other values (8874)3473495.3%
 
2020-11-02T14:15:23.720865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4548 ?
Unique (%)12.5%

1_HIGH_SCHOOL_ATTENDED_TO_DATE
Date

Distinct69
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Memory size284.6 KiB
Minimum1993-12-01 00:00:00
Maximum2024-08-01 00:00:00
2020-11-02T14:15:23.877155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:15:24.028085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

1_HIGH_SCHOOL_REGION
Categorical

HIGH CARDINALITY
MISSING

Distinct234
Distinct (%)0.7%
Missing1269
Missing (%)3.5%
Memory size284.6 KiB
CO
10217 
CA
7138 
TX
1953 
IL
1822 
WA
 
1008
Other values (229)
13021 
ValueCountFrequency (%) 
CO1021728.0%
 
CA713819.6%
 
TX19535.4%
 
IL18225.0%
 
WA10082.8%
 
NY9872.7%
 
MA9502.6%
 
FL8442.3%
 
NJ7962.2%
 
MD6101.7%
 
Other values (224)883424.3%
 
(Missing)12693.5%
 
2020-11-02T14:15:24.194007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique103 ?
Unique (%)0.3%

1_HIGH_SCHOOL_CITY
Categorical

HIGH CARDINALITY

Distinct4672
Distinct (%)12.9%
Missing82
Missing (%)0.2%
Memory size284.6 KiB
Denver
 
1019
Aurora
 
649
Boulder
 
422
DENVER
 
412
Highlands Ranch
 
405
Other values (4667)
33439 
ValueCountFrequency (%) 
Denver10192.8%
 
Aurora6491.8%
 
Boulder4221.2%
 
DENVER4121.1%
 
Highlands Ranch4051.1%
 
Littleton4011.1%
 
Colorado Springs3651.0%
 
Englewood3090.8%
 
Broomfield2900.8%
 
AURORA2770.8%
 
Other values (4662)3179787.3%
 
2020-11-02T14:15:24.367440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1915 ?
Unique (%)5.3%

1_HIGH_SCHOOL_TYPE
Categorical

Distinct1
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size284.6 KiB
High School
36427 
ValueCountFrequency (%) 
High School36427> 99.9%
 
(Missing)1< 0.1%
 
2020-11-02T14:15:24.498192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

1_HIGH_SCHOOL_HONORS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing36428
Missing (%)100.0%
Memory size284.7 KiB

CUB_IS__1_CHOICE
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing25469
Missing (%)69.9%
Memory size284.6 KiB
Other college listed
10851 
Yes
 
108
ValueCountFrequency (%) 
Other college listed1085129.8%
 
Yes1080.3%
 
(Missing)2546969.9%
 
2020-11-02T14:15:24.606750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_CU_SIS_APP_MATRICULATED
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
No
29064 
Yes
7364 
ValueCountFrequency (%) 
No2906479.8%
 
Yes736420.2%
 

ADMITTED_COLLEGE
Categorical

Distinct8
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size284.6 KiB
ARSCU
15405 
MULTU
8571 
ENGRU
6590 
BUSNU
2966 
CMCIU
1719 
Other values (3)
 
1176
ValueCountFrequency (%) 
ARSCU1540542.3%
 
MULTU857123.5%
 
ENGRU659018.1%
 
BUSNU29668.1%
 
CMCIU17194.7%
 
ARPLU5501.5%
 
EDUCU4251.2%
 
MUSCU2010.6%
 
(Missing)1< 0.1%
 
2020-11-02T14:15:24.734206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_COLLEGE
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
College of Arts & Sciences
15702 
College of Engineering & Applied Science
8898 
Leeds School of Business
6921 
College of Media, Communication & Information
2047 
Program in Exploratory Studies
 
1332
Other values (3)
 
1528
ValueCountFrequency (%) 
College of Arts & Sciences1570243.1%
 
College of Engineering & Applied Science889824.4%
 
Leeds School of Business692119.0%
 
College of Media, Communication & Information20475.6%
 
Program in Exploratory Studies13323.7%
 
Program in Environmental Design6151.7%
 
School of Education4921.4%
 
College of Music4211.2%
 
2020-11-02T14:15:24.872744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_INTEREST
Categorical

HIGH CARDINALITY

Distinct84
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
Business - Open Option (Undecided)
3670 
Psychology
2525 
Arts and Sciences - Open Option (Undecided)
 
1814
Aerospace Engineering Sciences
 
1755
Mechanical Engineering
 
1436
Other values (79)
25228 
ValueCountFrequency (%) 
Business - Open Option (Undecided)367010.1%
 
Psychology25256.9%
 
Arts and Sciences - Open Option (Undecided)18145.0%
 
Aerospace Engineering Sciences17554.8%
 
Mechanical Engineering14363.9%
 
Computer Science (Engineering, BS)14213.9%
 
Biological Sciences-Molecular, Cellular, & Developmental Biology13763.8%
 
Exploratory Studies/University-wide Open Option (Undecided)13313.7%
 
Biological Sciences-Integrative Physiology13083.6%
 
Marketing10162.8%
 
Other values (74)1877651.5%
 
2020-11-02T14:15:25.025523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_SUBMITTED_DATE
Categorical

HIGH CARDINALITY

Distinct404
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
2019-10-15 12:00 AM
4827 
2019-11-15 12:00 AM
4035 
2019-11-14 12:00 AM
2534 
2020-01-15 12:00 AM
2390 
2019-11-13 12:00 AM
 
1217
Other values (399)
21425 
ValueCountFrequency (%) 
2019-10-15 12:00 AM482713.3%
 
2019-11-15 12:00 AM403511.1%
 
2019-11-14 12:00 AM25347.0%
 
2020-01-15 12:00 AM23906.6%
 
2019-11-13 12:00 AM12173.3%
 
2019-10-16 12:00 AM10292.8%
 
2020-01-14 12:00 AM10262.8%
 
2019-11-12 12:00 AM7972.2%
 
2020-01-16 12:00 AM7832.1%
 
2019-11-11 12:00 AM6741.9%
 
Other values (394)1711647.0%
 
2020-11-02T14:15:25.197754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique126 ?
Unique (%)0.3%

APPLICATION_FINAL_RECOMMENDED_DECISION_FROM_READER_FORM
Categorical

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
Admit First Choice Program
27398 
Admit Exploratory Studies
6117 
Admit Pre Business
 
1660
Admit Pre Engineering
 
458
Admit Exploratory Studies with Excel Invite
 
268
Other values (6)
 
527
ValueCountFrequency (%) 
Admit First Choice Program2739875.2%
 
Admit Exploratory Studies611716.8%
 
Admit Pre Business16604.6%
 
Admit Pre Engineering4581.3%
 
Admit Exploratory Studies with Excel Invite2680.7%
 
Admit Exploratory Studies with GoldShirt Invite1960.5%
 
Admit McNeill1840.5%
 
Admit McNeill to Exploratory Studies1420.4%
 
Deny2< 0.1%
 
Admit Arts and Science AMO2< 0.1%
 
2020-11-02T14:15:25.339046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

ADMIT_DECISION_RELEASED_DATE
Categorical

HIGH CARDINALITY

Distinct138
Distinct (%)0.4%
Missing1
Missing (%)< 0.1%
Memory size284.6 KiB
2020-01-10 06:00 PM
20728 
2020-03-06 06:38 PM
3530 
2020-03-06 06:33 PM
2671 
2020-03-20 06:52 PM
2455 
2020-03-26 06:46 PM
2164 
Other values (133)
4879 
ValueCountFrequency (%) 
2020-01-10 06:00 PM2072856.9%
 
2020-03-06 06:38 PM35309.7%
 
2020-03-06 06:33 PM26717.3%
 
2020-03-20 06:52 PM24556.7%
 
2020-03-26 06:46 PM21645.9%
 
2020-02-24 02:19 PM12743.5%
 
2020-01-10 06:12 PM9052.5%
 
2020-04-10 06:58 PM4471.2%
 
2020-03-06 06:05 PM3671.0%
 
2020-05-21 12:34 PM2960.8%
 
Other values (128)15904.4%
 
2020-11-02T14:15:25.479474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique61 ?
Unique (%)0.2%

ADMIT_DECISION_RECEIVED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct9339
Distinct (%)28.0%
Missing3034
Missing (%)8.3%
Memory size284.6 KiB
2020-01-10 06:50 PM
 
439
2020-01-10 06:51 PM
 
405
2020-01-10 06:49 PM
 
343
2020-01-10 06:44 PM
 
332
2020-01-10 06:48 PM
 
329
Other values (9334)
31546 
ValueCountFrequency (%) 
2020-01-10 06:50 PM4391.2%
 
2020-01-10 06:51 PM4051.1%
 
2020-01-10 06:49 PM3430.9%
 
2020-01-10 06:44 PM3320.9%
 
2020-01-10 06:48 PM3290.9%
 
2020-01-10 06:47 PM3160.9%
 
2020-01-10 06:45 PM3150.9%
 
2020-01-10 06:46 PM3100.9%
 
2020-01-10 06:52 PM2810.8%
 
2020-01-10 06:53 PM2590.7%
 
Other values (9329)3006582.5%
 
(Missing)30348.3%
 
2020-11-02T14:15:25.651653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6468 ?
Unique (%)19.4%

DEPOSIT_DECISION_CONFIRMED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct3587
Distinct (%)47.3%
Missing28842
Missing (%)79.2%
Memory size284.6 KiB
2020-04-20 09:35 AM
 
174
2020-04-30 06:12 PM
 
119
2020-04-08 11:24 AM
 
111
2020-05-01 05:39 PM
 
86
2020-04-02 02:27 PM
 
80
Other values (3582)
7016 
ValueCountFrequency (%) 
2020-04-20 09:35 AM1740.5%
 
2020-04-30 06:12 PM1190.3%
 
2020-04-08 11:24 AM1110.3%
 
2020-05-01 05:39 PM860.2%
 
2020-04-02 02:27 PM800.2%
 
2020-04-28 06:58 PM710.2%
 
2020-04-27 06:55 PM680.2%
 
2020-04-29 06:45 PM640.2%
 
2020-04-15 07:06 PM640.2%
 
2020-04-13 06:50 PM600.2%
 
Other values (3577)668918.4%
 
(Missing)2884279.2%
 
2020-11-02T14:15:25.824807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2244 ?
Unique (%)29.6%

APPLICATION_HOUSING_APPLICATION_COMPLETED
Boolean

MISSING

Distinct1
Distinct (%)< 0.1%
Missing30172
Missing (%)82.8%
Memory size284.6 KiB
1
6256 
(Missing)
30172 
ValueCountFrequency (%) 
1625617.2%
 
(Missing)3017282.8%
 

MOST_RECENT_DECISION__ANY_APP
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
Admit
18783 
Withdraw
10605 
Deposit Paid
6515 
Defer (Deposit Paid)
 
208
Deposit Pending
 
201
Other values (2)
 
116
ValueCountFrequency (%) 
Admit1878351.6%
 
Withdraw1060529.1%
 
Deposit Paid651517.9%
 
Defer (Deposit Paid)2080.6%
 
Deposit Pending2010.6%
 
Defer Admit1070.3%
 
Defer (Deposit Pending)9< 0.1%
 
2020-11-02T14:15:25.982157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PAST_APP_HISTORY
Categorical

MISSING

Distinct48
Distinct (%)56.5%
Missing36343
Missing (%)99.8%
Memory size284.6 KiB
2019 Fall FR (2019-01-11 Admit: Admit First Choice Program)
9 
2019 Fall FR (2019-05-23 Administrative Withdraw: Late Application)
7 
2019 Fall FR (2019-03-01 Admit: Admit First Choice Program)
7 
2020 Fall FR (2020-01-10 Admit: Admit First Choice Program)
 
4
2019 Fall FR (2019-03-28 Waitlist: Waitlist)
 
4
Other values (43)
54 
ValueCountFrequency (%) 
2019 Fall FR (2019-01-11 Admit: Admit First Choice Program)9< 0.1%
 
2019 Fall FR (2019-05-23 Administrative Withdraw: Late Application)7< 0.1%
 
2019 Fall FR (2019-03-01 Admit: Admit First Choice Program)7< 0.1%
 
2020 Fall FR (2020-01-10 Admit: Admit First Choice Program)4< 0.1%
 
2019 Fall FR (2019-03-28 Waitlist: Waitlist)4< 0.1%
 
2019 Fall FR (2019-03-01 Admit: Admit Exploratory Studies)4< 0.1%
 
2019 Fall FR (2019-04-25 Waitlist: Waitlist)3< 0.1%
 
2019 Fall FR (2019-01-11 Admit: Admit Exploratory Studies)3< 0.1%
 
2019 Fall FR (2019-04-29 Waitlist: Waitlist)2< 0.1%
 
2019 Fall FR (2019-04-30 Waitlist: Waitlist)2< 0.1%
 
Other values (38)400.1%
 
(Missing)3634399.8%
 
2020-11-02T14:15:26.452154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique36 ?
Unique (%)42.4%

PERSON_ENGAGEMENT
Categorical

MISSING

Distinct6
Distinct (%)0.1%
Missing25102
Missing (%)68.9%
Memory size284.6 KiB
Black
5490 
Red
4618 
Green
826 
Blue
 
213
Purple
 
171
ValueCountFrequency (%) 
Black549015.1%
 
Red461812.7%
 
Green8262.3%
 
Blue2130.6%
 
Purple1710.5%
 
Yellow8< 0.1%
 
(Missing)2510268.9%
 
2020-11-02T14:15:26.605188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

TOTAL_PING_TIME__SEC
Real number (&Ropf≥0)

ZEROS

Distinct1221
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.3049028
Minimum0
Maximum6345
Zeros1685
Zeros (%)4.6%
Memory size284.6 KiB
2020-11-02T14:15:26.734457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q121
median53
Q3135
95-th percentile520
Maximum6345
Range6345
Interquartile range (IQR)114

Descriptive statistics

Standard deviation212.1523174
Coefficient of variation (CV)1.666489763
Kurtosis59.4683569
Mean127.3049028
Median Absolute Deviation (MAD)40
Skewness5.196088943
Sum4637463
Variance45008.60577
MonotocityNot monotonic
2020-11-02T14:15:26.876946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
016854.6%
 
144501.2%
 
184171.1%
 
134031.1%
 
114031.1%
 
164021.1%
 
154011.1%
 
203991.1%
 
63961.1%
 
93921.1%
 
Other values (1211)3108085.3%
 
ValueCountFrequency (%) 
016854.6%
 
1760.2%
 
21940.5%
 
33100.9%
 
43901.1%
 
ValueCountFrequency (%) 
63451< 0.1%
 
45211< 0.1%
 
44341< 0.1%
 
41611< 0.1%
 
35481< 0.1%
 

MESSAGE_COUNT
Real number (&Ropf≥0)

Distinct77
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.13953552
Minimum0
Maximum89
Zeros112
Zeros (%)0.3%
Memory size284.6 KiB
2020-11-02T14:15:27.031414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q114
median21
Q329
95-th percentile41
Maximum89
Range89
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.79581586
Coefficient of variation (CV)0.4876261226
Kurtosis0.1676921021
Mean22.13953552
Median Absolute Deviation (MAD)7
Skewness0.4663221169
Sum806499
Variance116.5496401
MonotocityNot monotonic
2020-11-02T14:15:27.172971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2013373.7%
 
2212913.5%
 
1812883.5%
 
1912863.5%
 
1612743.5%
 
1712713.5%
 
2312663.5%
 
2112343.4%
 
2412053.3%
 
1511743.2%
 
Other values (67)2380265.3%
 
ValueCountFrequency (%) 
01120.3%
 
11550.4%
 
22300.6%
 
32830.8%
 
43671.0%
 
ValueCountFrequency (%) 
891< 0.1%
 
791< 0.1%
 
771< 0.1%
 
754< 0.1%
 
741< 0.1%
 

VIRTUAL_EVENT_ENGAGEMENT_COUNT
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
0
35752 
1
 
635
2
 
37
3
 
4
ValueCountFrequency (%) 
03575298.1%
 
16351.7%
 
2370.1%
 
34< 0.1%
 
2020-11-02T14:15:27.312789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ON_CAMPUS_ENGAGEMENT_COUNT
Real number (&Ropf≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3063577468
Minimum0
Maximum5
Zeros26132
Zeros (%)71.7%
Memory size284.6 KiB
2020-11-02T14:15:27.414334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5163760064
Coefficient of variation (CV)1.685532721
Kurtosis2.888449547
Mean0.3063577468
Median Absolute Deviation (MAD)0
Skewness1.589448391
Sum11160
Variance0.26664418
MonotocityNot monotonic
2020-11-02T14:15:27.514000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
02613271.7%
 
1953426.2%
 
26771.9%
 
3710.2%
 
411< 0.1%
 
53< 0.1%
 
ValueCountFrequency (%) 
02613271.7%
 
1953426.2%
 
26771.9%
 
3710.2%
 
411< 0.1%
 
ValueCountFrequency (%) 
53< 0.1%
 
411< 0.1%
 
3710.2%
 
26771.9%
 
1953426.2%
 

MOST_RECENT_ON_CAMPUS_EVENT
Categorical

HIGH CARDINALITY
MISSING

Distinct62
Distinct (%)0.6%
Missing26132
Missing (%)71.7%
Memory size284.6 KiB
Information Session & Campus Tour
7771 
Explore CU Boulder
 
605
Information Session & Campus Tours
 
249
Talented Scholars Day
 
230
Ralphie's Group Visit
 
176
Other values (57)
1265 
ValueCountFrequency (%) 
Information Session & Campus Tour777121.3%
 
Explore CU Boulder6051.7%
 
Information Session & Campus Tours2490.7%
 
Talented Scholars Day2300.6%
 
Ralphie's Group Visit1760.5%
 
Discover CU Boulder1720.5%
 
Diversity and Inclusion Visit Experience (D.I.V.E.)1170.3%
 
Engineer Your Future: Engineering Sampler1160.3%
 
Ralphie's Visit1080.3%
 
Pre-Collegiate Boulder App Day 2019770.2%
 
Other values (52)6751.9%
 
(Missing)2613271.7%
 
2020-11-02T14:15:27.661725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6 ?
Unique (%)0.1%

DATE_MOST_RECENT_ON_CAMPUS_EVENT
Date

MISSING

Distinct1095
Distinct (%)10.6%
Missing26132
Missing (%)71.7%
Memory size284.6 KiB
Minimum2017-06-12 09:30:00
Maximum2020-03-16 10:00:00
2020-11-02T14:15:27.821224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:15:27.970329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

OFF_CAMPUS_ENGAGEMENT_COUNT
Real number (&Ropf≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1247941144
Minimum0
Maximum4
Zeros32238
Zeros (%)88.5%
Memory size284.6 KiB
2020-11-02T14:15:28.092068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3609803377
Coefficient of variation (CV)2.89260707
Kurtosis9.861207261
Mean0.1247941144
Median Absolute Deviation (MAD)0
Skewness3.02102788
Sum4546
Variance0.1303068042
MonotocityNot monotonic
2020-11-02T14:15:28.192393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
03223888.5%
 
1386110.6%
 
23030.8%
 
3250.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
03223888.5%
 
1386110.6%
 
23030.8%
 
3250.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
41< 0.1%
 
3250.1%
 
23030.8%
 
1386110.6%
 
03223888.5%
 

DEPOSIT_PAID
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
No
29913 
Yes
6515 
ValueCountFrequency (%) 
No2991382.1%
 
Yes651517.9%
 

DEPOSIT_PAID_CREATED_DATE
Date

MISSING

Distinct3587
Distinct (%)47.3%
Missing28842
Missing (%)79.2%
Memory size284.6 KiB
Minimum2018-02-01 19:35:25
Maximum2020-08-21 14:26:50
2020-11-02T14:15:28.330739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:15:28.488457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

CURRENT_BIN_NAME
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size284.6 KiB
R - Admit
25817 
U - Withdraw
10608 
T - Future Cycle
 
2
S - Deny
 
1
ValueCountFrequency (%) 
R - Admit2581770.9%
 
U - Withdraw1060829.1%
 
T - Future Cycle2< 0.1%
 
S - Deny1< 0.1%
 
2020-11-02T14:15:28.642554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION
Categorical

MISSING

Distinct4
Distinct (%)80.0%
Missing36423
Missing (%)> 99.9%
Memory size284.6 KiB
G. Bachelor's Level Degree
2 
D. Some College
1 
H. Some Graduate School
1 
A. Not Indicated
1 
ValueCountFrequency (%) 
G. Bachelor's Level Degree2< 0.1%
 
D. Some College1< 0.1%
 
H. Some Graduate School1< 0.1%
 
A. Not Indicated1< 0.1%
 
(Missing)36423> 99.9%
 
2020-11-02T14:15:28.761227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)60.0%

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing36428
Missing (%)100.0%
Memory size284.7 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing36428
Missing (%)100.0%
Memory size284.7 KiB

RELATION_SIBLING_HIGHEST_EDUCATION
Categorical

MISSING

Distinct3
Distinct (%)100.0%
Missing36425
Missing (%)> 99.9%
Memory size284.6 KiB
D. Some College
1 
B. Less Than High School Graduate
1 
C. High School Graduate or Equivalent
1 
ValueCountFrequency (%) 
D. Some College1< 0.1%
 
B. Less Than High School Graduate1< 0.1%
 
C. High School Graduate or Equivalent1< 0.1%
 
(Missing)36425> 99.9%
 
2020-11-02T14:15:28.874864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)100.0%

RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing36424
Missing (%)> 99.9%
Memory size284.6 KiB
0
 
4
(Missing)
36424 
ValueCountFrequency (%) 
04< 0.1%
 
(Missing)36424> 99.9%
 

RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing36424
Missing (%)> 99.9%
Memory size284.6 KiB
0
 
4
(Missing)
36424 
ValueCountFrequency (%) 
04< 0.1%
 
(Missing)36424> 99.9%
 

RELATION_STEP_PARENT_HIGHEST_EDUCATION
Categorical

MISSING

Distinct3
Distinct (%)100.0%
Missing36425
Missing (%)> 99.9%
Memory size284.6 KiB
G. Bachelor's Level Degree
1 
C. High School Graduate or Equivalent
1 
E. Technical School
1 
ValueCountFrequency (%) 
G. Bachelor's Level Degree1< 0.1%
 
C. High School Graduate or Equivalent1< 0.1%
 
E. Technical School1< 0.1%
 
(Missing)36425> 99.9%
 
2020-11-02T14:15:28.984695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)100.0%

RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct1
Distinct (%)33.3%
Missing36425
Missing (%)> 99.9%
Memory size284.6 KiB
0
 
3
(Missing)
36425 
ValueCountFrequency (%) 
03< 0.1%
 
(Missing)36425> 99.9%
 

RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct1
Distinct (%)33.3%
Missing36425
Missing (%)> 99.9%
Memory size284.6 KiB
0
 
3
(Missing)
36425 
ValueCountFrequency (%) 
03< 0.1%
 
(Missing)36425> 99.9%
 

RELATION_GRANDPARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing36428
Missing (%)100.0%
Memory size284.7 KiB

RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing36428
Missing (%)100.0%
Memory size284.7 KiB

RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing36428
Missing (%)100.0%
Memory size284.7 KiB

APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC
Categorical

MISSING

Distinct9
Distinct (%)0.1%
Missing29860
Missing (%)82.0%
Memory size284.6 KiB
Colorado Free Application Day (Colorado residents only)
5582 
Other pre-approved application fee waiver (must have valid code)
 
256
CU Boulder Legacy applicant (invitation only)
 
210
Pre-Collegiate Program participant (CO residents, by invitation only)
 
169
CU Boulder application workshop participant
 
135
Other values (4)
 
216
ValueCountFrequency (%) 
Colorado Free Application Day (Colorado residents only)558215.3%
 
Other pre-approved application fee waiver (must have valid code)2560.7%
 
CU Boulder Legacy applicant (invitation only)2100.6%
 
Pre-Collegiate Program participant (CO residents, by invitation only)1690.5%
 
CU Boulder application workshop participant1350.4%
 
Active Duty or Veteran military personnel1230.3%
 
Outstanding Colorado Student (by invitation only)640.2%
 
EngiNearMe Program participant (by invitation only)280.1%
 
Boettcher Scholar semi-finalist (CO residents, by invitiation only)1< 0.1%
 
(Missing)2986082.0%
 
2020-11-02T14:15:29.103793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT
Boolean

MISSING

Distinct1
Distinct (%)12.5%
Missing36420
Missing (%)> 99.9%
Memory size284.6 KiB
1
 
8
(Missing)
36420 
ValueCountFrequency (%) 
18< 0.1%
 
(Missing)36420> 99.9%
 

APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT
Boolean

MISSING

Distinct1
Distinct (%)2.0%
Missing36377
Missing (%)99.9%
Memory size284.6 KiB
1
 
51
(Missing)
36377 
ValueCountFrequency (%) 
1510.1%
 
(Missing)3637799.9%
 

APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL
Boolean

MISSING

Distinct2
Distinct (%)25.0%
Missing36420
Missing (%)> 99.9%
Memory size284.6 KiB
1
 
4
0
 
4
(Missing)
36420 
ValueCountFrequency (%) 
14< 0.1%
 
04< 0.1%
 
(Missing)36420> 99.9%
 

PERSON_YEARS_LIVED_IN_U_S
Categorical

MISSING

Distinct3
Distinct (%)0.2%
Missing34971
Missing (%)96.0%
Memory size284.6 KiB
0
1140 
<1
275 
>20
 
42
ValueCountFrequency (%) 
011403.1%
 
<12750.8%
 
>20420.1%
 
(Missing)3497196.0%
 
2020-11-02T14:15:29.226798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_YEARS_LIVED_OUTSIDE_U_S
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing4438
Missing (%)12.2%
Memory size284.6 KiB
0
30744 
<1
 
1234
>20
 
12
ValueCountFrequency (%) 
03074484.4%
 
<112343.4%
 
>2012< 0.1%
 
(Missing)443812.2%
 
2020-11-02T14:15:29.349342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.4%
Missing36357
Missing (%)99.8%
Memory size284.6 KiB
1
 
71
(Missing)
36357 
ValueCountFrequency (%) 
1710.2%
 
(Missing)3635799.8%
 

APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.3%
Missing36063
Missing (%)99.0%
Memory size284.6 KiB
1
 
365
(Missing)
36063 
ValueCountFrequency (%) 
13651.0%
 
(Missing)3606399.0%
 

APPLICATION_BAKER_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing34927
Missing (%)95.9%
Memory size284.6 KiB
1
 
1501
(Missing)
34927 
ValueCountFrequency (%) 
115014.1%
 
(Missing)3492795.9%
 

APPLICATION_CHANCELLOR_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)< 0.1%
Missing28231
Missing (%)77.5%
Memory size284.6 KiB
1
8197 
(Missing)
28231 
ValueCountFrequency (%) 
1819722.5%
 
(Missing)2823177.5%
 

APPLICATION_DEAN_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.2%
Missing35986
Missing (%)98.8%
Memory size284.6 KiB
1
 
442
(Missing)
35986 
ValueCountFrequency (%) 
14421.2%
 
(Missing)3598698.8%
 

APPLICATION_HALE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing35680
Missing (%)97.9%
Memory size284.6 KiB
1
 
748
(Missing)
35680 
ValueCountFrequency (%) 
17482.1%
 
(Missing)3568097.9%
 

APPLICATION_IMPACT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)0.9%
Missing36317
Missing (%)99.7%
Memory size284.6 KiB
1
 
111
(Missing)
36317 
ValueCountFrequency (%) 
11110.3%
 
(Missing)3631799.7%
 

APPLICATION_LEEDS_SCHOLAR_ADMIT
Boolean

MISSING

Distinct1
Distinct (%)1.2%
Missing36344
Missing (%)99.8%
Memory size284.6 KiB
1
 
84
(Missing)
36344 
ValueCountFrequency (%) 
1840.2%
 
(Missing)3634499.8%
 

APPLICATION_LEEDS_SCHOLAR_APPLICANT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing36428
Missing (%)100.0%
Memory size284.7 KiB

APPLICATION_MUSIC_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing36427
Missing (%)> 99.9%
Memory size284.6 KiB
0
 
1
(Missing)
36427 
ValueCountFrequency (%) 
01< 0.1%
 
(Missing)36427> 99.9%
 

APPLICATION_PRESIDENTIAL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing35116
Missing (%)96.4%
Memory size284.6 KiB
1
 
1312
(Missing)
35116 
ValueCountFrequency (%) 
113123.6%
 
(Missing)3511696.4%
 

APPLICATION_REGENT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)0.3%
Missing36089
Missing (%)99.1%
Memory size284.6 KiB
1
 
339
(Missing)
36089 
ValueCountFrequency (%) 
13390.9%
 
(Missing)3608999.1%
 

APPLICATION_SEWALL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing35371
Missing (%)97.1%
Memory size284.6 KiB
1
 
1057
(Missing)
35371 
ValueCountFrequency (%) 
110572.9%
 
(Missing)3537197.1%
 

APPLICATION_EXCEL
Categorical

MISSING

Distinct4
Distinct (%)0.8%
Missing35932
Missing (%)98.6%
Memory size284.6 KiB
Excel referral
225 
Excel interview invite
188 
Excel admit
78 
Excel deny
 
5
ValueCountFrequency (%) 
Excel referral2250.6%
 
Excel interview invite1880.5%
 
Excel admit780.2%
 
Excel deny5< 0.1%
 
(Missing)3593298.6%
 
2020-11-02T14:15:29.480003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_TUITION_CLASSIFICATION
Boolean

MISSING

Distinct2
Distinct (%)11.8%
Missing36411
Missing (%)> 99.9%
Memory size284.6 KiB
1
 
10
0
 
7
(Missing)
36411 
ValueCountFrequency (%) 
110< 0.1%
 
07< 0.1%
 
(Missing)36411> 99.9%
 

APPLICATION_ADMITTED_FROM_WAITLIST
Boolean

MISSING

Distinct1
Distinct (%)0.3%
Missing36132
Missing (%)99.2%
Memory size284.6 KiB
1
 
296
(Missing)
36132 
ValueCountFrequency (%) 
12960.8%
 
(Missing)3613299.2%
 

PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)1.2%
Missing36346
Missing (%)99.8%
Memory size284.6 KiB
1
 
82
(Missing)
36346 
ValueCountFrequency (%) 
1820.2%
 
(Missing)3634699.8%
 

PERSON_PRE_COLLEGIATE_RURAL
Boolean

MISSING

Distinct1
Distinct (%)12.5%
Missing36420
Missing (%)> 99.9%
Memory size284.6 KiB
1
 
8
(Missing)
36420 
ValueCountFrequency (%) 
18< 0.1%
 
(Missing)36420> 99.9%
 

PERSON_PRE_COLLEGIATE_WESTERN_SLOPE
Boolean

MISSING

Distinct1
Distinct (%)1.5%
Missing36361
Missing (%)99.8%
Memory size284.6 KiB
1
 
67
(Missing)
36361 
ValueCountFrequency (%) 
1670.2%
 
(Missing)3636199.8%
 

PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)0.9%
Missing36311
Missing (%)99.7%
Memory size284.6 KiB
1
 
117
(Missing)
36311 
ValueCountFrequency (%) 
11170.3%
 
(Missing)3631199.7%
 

PERSON_DANIEL_S_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.8%
Missing36373
Missing (%)99.8%
Memory size284.6 KiB
1
 
55
(Missing)
36373 
ValueCountFrequency (%) 
1550.2%
 
(Missing)3637399.8%
 

PERSON_ENGINEARME
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing36428
Missing (%)100.0%
Memory size284.7 KiB

HS_CITY_LOCATION
Categorical

HIGH CARDINALITY
MISSING

Distinct2329
Distinct (%)9.0%
Missing10609
Missing (%)29.1%
Memory size284.6 KiB
Denver
 
899
Highlands Ranch
 
661
Aurora
 
610
Boulder
 
547
Colorado Springs
 
526
Other values (2324)
22576 
ValueCountFrequency (%) 
Denver8992.5%
 
Highlands Ranch6611.8%
 
Aurora6101.7%
 
Boulder5471.5%
 
Colorado Springs5261.4%
 
Greenwood Village3731.0%
 
Littleton3581.0%
 
Fort Collins3561.0%
 
Austin2960.8%
 
Broomfield2930.8%
 
Other values (2319)2090057.4%
 
(Missing)1060929.1%
 
2020-11-02T14:15:29.631279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique811 ?
Unique (%)3.1%

HS_TOT_ENROLLMENT
Real number (&Ropf≥0)

MISSING

Distinct2305
Distinct (%)7.5%
Missing5514
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean1669.10306
Minimum0
Maximum5934
Zeros3
Zeros (%)< 0.1%
Memory size284.6 KiB
2020-11-02T14:15:29.782960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile399.65
Q11059
median1641
Q32179
95-th percentile3154
Maximum5934
Range5934
Interquartile range (IQR)1120

Descriptive statistics

Standard deviation847.0460771
Coefficient of variation (CV)0.5074857852
Kurtosis0.7536387837
Mean1669.10306
Median Absolute Deviation (MAD)563
Skewness0.601292103
Sum51598652
Variance717487.0568
MonotocityNot monotonic
2020-11-02T14:15:29.933120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
37203741.0%
 
21793290.9%
 
22662790.8%
 
21032500.7%
 
26032400.7%
 
16842340.6%
 
23322010.6%
 
17121930.5%
 
22501920.5%
 
24061630.4%
 
Other values (2295)2845978.1%
 
(Missing)551415.1%
 
ValueCountFrequency (%) 
03< 0.1%
 
32< 0.1%
 
91< 0.1%
 
121< 0.1%
 
201< 0.1%
 
ValueCountFrequency (%) 
5934230.1%
 
5286300.1%
 
5098200.1%
 
479714< 0.1%
 
46091< 0.1%
 

HS_NCES_ID
Categorical

HIGH CARDINALITY
MISSING

Distinct4633
Distinct (%)15.0%
Missing5512
Missing (%)15.1%
Memory size284.6 KiB
080291000186
 
373
080249000114
 
294
080336000338
 
240
080249000101
 
238
080345001961
 
229
Other values (4628)
29542 
ValueCountFrequency (%) 
0802910001863731.0%
 
0802490001142940.8%
 
0803360003382400.7%
 
0802490001012380.7%
 
0803450019612290.6%
 
A91015742260.6%
 
0803450017481980.5%
 
0802490016321910.5%
 
0805310008731900.5%
 
0806900017841630.4%
 
Other values (4623)2857478.4%
 
(Missing)551215.1%
 
2020-11-02T14:15:30.124468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1805 ?
Unique (%)5.8%

HS_NAME
Categorical

HIGH CARDINALITY
MISSING

Distinct4358
Distinct (%)14.1%
Missing5512
Missing (%)15.1%
Memory size284.6 KiB
Cherry Creek High School
 
373
Fairview High School
 
295
East High School
 
257
Boulder High School
 
238
Rock Canyon High School
 
229
Other values (4353)
29524 
ValueCountFrequency (%) 
Cherry Creek High School3731.0%
 
Fairview High School2950.8%
 
East High School2570.7%
 
Boulder High School2380.7%
 
Rock Canyon High School2290.6%
 
Regis Jesuit High School2260.6%
 
Mountain Vista High School1980.5%
 
Monarch High School1910.5%
 
Arapahoe High School1900.5%
 
Legacy High School1630.4%
 
Other values (4348)2855678.4%
 
(Missing)551215.1%
 
2020-11-02T14:15:30.315634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1621 ?
Unique (%)5.2%

HS_TYPE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing5512
Missing (%)15.1%
Memory size284.6 KiB
1
30371 
3
 
309
4
 
157
6
 
59
2
 
15
ValueCountFrequency (%) 
13037183.4%
 
33090.8%
 
41570.4%
 
6590.2%
 
215< 0.1%
 
75< 0.1%
 
(Missing)551215.1%
 
2020-11-02T14:15:30.782255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_STATE
Categorical

HIGH CARDINALITY
MISSING

Distinct52
Distinct (%)0.2%
Missing10609
Missing (%)29.1%
Memory size284.6 KiB
CO
8522 
CA
4950 
IL
1535 
TX
1356 
WA
 
775
Other values (47)
8681 
ValueCountFrequency (%) 
CO852223.4%
 
CA495013.6%
 
IL15354.2%
 
TX13563.7%
 
WA7752.1%
 
MA7642.1%
 
NJ6731.8%
 
NY6521.8%
 
MD4691.3%
 
MN4491.2%
 
Other values (42)567415.6%
 
(Missing)1060929.1%
 
2020-11-02T14:15:30.924789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_TEACHERS_FTE
Real number (&Ropf≥0)

MISSING

Distinct243
Distinct (%)0.8%
Missing5578
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean94.7439222
Minimum0
Maximum1050
Zeros13
Zeros (%)< 0.1%
Memory size284.6 KiB
2020-11-02T14:15:31.073262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q165
median90
Q3114
95-th percentile181
Maximum1050
Range1050
Interquartile range (IQR)49

Descriptive statistics

Standard deviation46.35071552
Coefficient of variation (CV)0.4892209911
Kurtosis7.839057068
Mean94.7439222
Median Absolute Deviation (MAD)24
Skewness1.330586482
Sum2922850
Variance2148.388829
MonotocityNot monotonic
2020-11-02T14:15:31.225929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
976351.7%
 
1076331.7%
 
1045591.5%
 
1005401.5%
 
804531.2%
 
904331.2%
 
1034241.2%
 
1814231.2%
 
874221.2%
 
854161.1%
 
Other values (233)2591271.1%
 
(Missing)557815.3%
 
ValueCountFrequency (%) 
013< 0.1%
 
1210.1%
 
2320.1%
 
315< 0.1%
 
46< 0.1%
 
ValueCountFrequency (%) 
10501< 0.1%
 
3624< 0.1%
 
3275< 0.1%
 
31013< 0.1%
 
284300.1%
 

HS_URBAN_CENTRIC_LOCALE_CODE
Categorical

MISSING

Distinct12
Distinct (%)< 0.1%
Missing5512
Missing (%)15.1%
Memory size284.6 KiB
21
13553 
11
6414 
12
2750 
13
2635 
41
2508 
Other values (7)
3056 
ValueCountFrequency (%) 
211355337.2%
 
11641417.6%
 
1227507.5%
 
1326357.2%
 
4125086.9%
 
227222.0%
 
336251.7%
 
234261.2%
 
423871.1%
 
313831.1%
 
Other values (2)5131.4%
 
(Missing)551215.1%
 
2020-11-02T14:15:31.378024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_ZIP
Categorical

HIGH CARDINALITY
MISSING

Distinct3370
Distinct (%)13.1%
Missing10609
Missing (%)29.1%
Memory size284.6 KiB
80111
 
373
80305
 
294
80020
 
293
80016
 
280
80302
 
249
Other values (3365)
24330 
ValueCountFrequency (%) 
801113731.0%
 
803052940.8%
 
800202930.8%
 
800162800.8%
 
803022490.7%
 
802062400.7%
 
801242290.6%
 
805032210.6%
 
801261980.5%
 
800271910.5%
 
Other values (3360)2325163.8%
 
(Missing)1060929.1%
 
2020-11-02T14:15:31.540663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1292 ?
Unique (%)5.0%

HS_ADDRESS
Categorical

HIGH CARDINALITY
MISSING

Distinct3752
Distinct (%)14.5%
Missing10609
Missing (%)29.1%
Memory size284.6 KiB
9300 East Union Avenue
 
373
1515 Greenbriar Boulevard
 
294
1600 City Park Esplanade
 
240
1604 Arapahoe Avenue
 
238
5810 Mcarthur Ranch Road
 
229
Other values (3747)
24445 
ValueCountFrequency (%) 
9300 East Union Avenue3731.0%
 
1515 Greenbriar Boulevard2940.8%
 
1600 City Park Esplanade2400.7%
 
1604 Arapahoe Avenue2380.7%
 
5810 Mcarthur Ranch Road2290.6%
 
10585 Mountain Vista Ridge1980.5%
 
329 Campus Drive1910.5%
 
2201 East Dry Creek Road1900.5%
 
2701 West 136Th Street1630.4%
 
25901 Arapahoe Parkway1430.4%
 
Other values (3742)2356064.7%
 
(Missing)1060929.1%
 
2020-11-02T14:15:31.722936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1516 ?
Unique (%)5.9%

HS_TYPE_VALUE
Categorical

MISSING

Distinct10
Distinct (%)< 0.1%
Missing5512
Missing (%)15.1%
Memory size284.6 KiB
Regular School
25053 
Regular Elementary Or Secondary
5318 
Special Program Emphasis
 
268
Other/Alternative School
 
147
Alternative/Other
 
59
Other values (5)
 
71
ValueCountFrequency (%) 
Regular School2505368.8%
 
Regular Elementary Or Secondary531814.6%
 
Special Program Emphasis2680.7%
 
Other/Alternative School1470.4%
 
Alternative/Other590.2%
 
Vocational School410.1%
 
Montessori14< 0.1%
 
Special Education10< 0.1%
 
Early Childhood Program/Child Care Center5< 0.1%
 
Special Education School1< 0.1%
 
(Missing)551215.1%
 
2020-11-02T14:15:31.874921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

HS_CLASSIFICATION
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing5512
Missing (%)15.1%
Memory size284.6 KiB
Public
25242 
Private
5674 
ValueCountFrequency (%) 
Public2524269.3%
 
Private567415.6%
 
(Missing)551215.1%
 
2020-11-02T14:15:31.998710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_CEEB
Categorical

HIGH CARDINALITY
MISSING

Distinct4644
Distinct (%)15.0%
Missing5512
Missing (%)15.1%
Memory size284.6 KiB
060515
 
373
060118
 
294
060400
 
240
060115
 
238
060748
 
229
Other values (4639)
29542 
ValueCountFrequency (%) 
0605153731.0%
 
0601182940.8%
 
0604002400.7%
 
0601152380.7%
 
0607482290.6%
 
0607471980.5%
 
0601301910.5%
 
0609281900.5%
 
0601631630.4%
 
0600861430.4%
 
Other values (4634)2865778.7%
 
(Missing)551215.1%
 
2020-11-02T14:15:32.164101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1811 ?
Unique (%)5.9%
] [

Dataset statistics

Number of variables123
Number of observations1326
Missing cells81109
Missing cells (%)49.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory984.1 B

Variable types

CAT60
BOOL30
UNSUPPORTED19
NUM11
DATE3

Warnings

YEAR has constant value "1326" Constant
1_HIGH_SCHOOL_TYPE has constant value "1326" Constant
PERSON_BIRTHDATE has a high cardinality: 547 distinct values High cardinality
ADDRESS_STREET_COMBINED has a high cardinality: 1311 distinct values High cardinality
ADDRESS_CITY has a high cardinality: 624 distinct values High cardinality
ADDRESS_COUNTY has a high cardinality: 208 distinct values High cardinality
ADDRESS_REGION has a high cardinality: 150 distinct values High cardinality
ADDRESS_POSTAL has a high cardinality: 1255 distinct values High cardinality
ADDRESS_US_5_DIGIT_ZIP_CODE has a high cardinality: 673 distinct values High cardinality
PERSON_HS_GPA_SR has a high cardinality: 544 distinct values High cardinality
1_HIGH_SCHOOL_CEEB_CODE has a high cardinality: 822 distinct values High cardinality
1_HIGH_SCHOOL_NAME has a high cardinality: 873 distinct values High cardinality
1_HIGH_SCHOOL_REGION has a high cardinality: 90 distinct values High cardinality
1_HIGH_SCHOOL_CITY has a high cardinality: 683 distinct values High cardinality
APPLICATION_ORIGINAL_ACADEMIC_INTEREST has a high cardinality: 72 distinct values High cardinality
APPLICATION_SUBMITTED_DATE has a high cardinality: 150 distinct values High cardinality
ADMIT_DECISION_RECEIVED_DATE has a high cardinality: 954 distinct values High cardinality
DEPOSIT_DECISION_CONFIRMED_DATE has a high cardinality: 663 distinct values High cardinality
HS_CITY_LOCATION has a high cardinality: 365 distinct values High cardinality
HS_NCES_ID has a high cardinality: 569 distinct values High cardinality
HS_NAME has a high cardinality: 559 distinct values High cardinality
HS_ZIP has a high cardinality: 439 distinct values High cardinality
HS_ADDRESS has a high cardinality: 465 distinct values High cardinality
HS_CEEB has a high cardinality: 570 distinct values High cardinality
PERSON_MULTIPLE_APPLICATIONS has 1322 (99.7%) missing values Missing
ETHNICITY has 34 (2.6%) missing values Missing
ADDRESS_COUNTY has 181 (13.7%) missing values Missing
ADDRESS_REGION has 40 (3.0%) missing values Missing
PERSON_HOME_SCHOOL has 1325 (99.9%) missing values Missing
PERSON_ACT_MAX_COMPOSITE has 824 (62.1%) missing values Missing
PERSON_SATI_MAX_TOTAL has 1325 (99.9%) missing values Missing
PERSON_SATR_MAX_COMPS has 412 (31.1%) missing values Missing
PERSON_24_OR_MORE_HOURS_COLLEGE_WORK has 1323 (99.8%) missing values Missing
PERSON_APPLICANT_FIRST_GENERATION has 1152 (86.9%) missing values Missing
PARENT_CU_ATTENDANCE has 1324 (99.8%) missing values Missing
PARENT_CU_EMPLOYMENT has 1323 (99.8%) missing values Missing
PERSON_ENGLISH_NATIVE_LANGUAGE has 1323 (99.8%) missing values Missing
PERSON_GROSS_FAMILY_INCOME has 455 (34.3%) missing values Missing
PERSON_FAFSA_SUBMITTED has 568 (42.8%) missing values Missing
PERSON_MILITARY_STATUS has 1326 (100.0%) missing values Missing
PERSON_HS_RANK_PERCENTILE has 863 (65.1%) missing values Missing
PERSON_HS_EQUIVALENCY has 1324 (99.8%) missing values Missing
PERSON_CUMULATIVE_GPA has 1208 (91.1%) missing values Missing
PERSON_HS_GPA_CONVERT has 73 (5.5%) missing values Missing
PERSON_HS_GPA_SR has 437 (33.0%) missing values Missing
1_HIGH_SCHOOL_REGION has 117 (8.8%) missing values Missing
1_HIGH_SCHOOL_HONORS has 1326 (100.0%) missing values Missing
CUB_IS__1_CHOICE has 577 (43.5%) missing values Missing
ADMIT_DECISION_RECEIVED_DATE has 18 (1.4%) missing values Missing
DEPOSIT_DECISION_CONFIRMED_DATE has 331 (25.0%) missing values Missing
APPLICATION_HOUSING_APPLICATION_COMPLETED has 703 (53.0%) missing values Missing
PAST_APP_HISTORY has 1322 (99.7%) missing values Missing
PERSON_ENGAGEMENT has 820 (61.8%) missing values Missing
MOST_RECENT_ON_CAMPUS_EVENT has 810 (61.1%) missing values Missing
DATE_MOST_RECENT_ON_CAMPUS_EVENT has 810 (61.1%) missing values Missing
DEPOSIT_PAID_CREATED_DATE has 331 (25.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION has 1326 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE has 1326 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT has 1326 (100.0%) missing values Missing
RELATION_SIBLING_HIGHEST_EDUCATION has 1326 (100.0%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT has 1326 (100.0%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE has 1326 (100.0%) missing values Missing
RELATION_STEP_PARENT_HIGHEST_EDUCATION has 1326 (100.0%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE has 1326 (100.0%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT has 1326 (100.0%) missing values Missing
RELATION_GRANDPARENT_HIGHEST_EDUCATION has 1326 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT has 1326 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE has 1326 (100.0%) missing values Missing
APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC has 1073 (80.9%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT has 1325 (99.9%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT has 1326 (100.0%) missing values Missing
APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL has 1325 (99.9%) missing values Missing
PERSON_YEARS_LIVED_IN_U_S has 1167 (88.0%) missing values Missing
PERSON_YEARS_LIVED_OUTSIDE_U_S has 254 (19.2%) missing values Missing
APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR has 1322 (99.7%) missing values Missing
APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR has 1319 (99.5%) missing values Missing
APPLICATION_BAKER_SCHOLAR has 1264 (95.3%) missing values Missing
APPLICATION_CHANCELLOR_SCHOLAR has 1181 (89.1%) missing values Missing
APPLICATION_DEAN_SCHOLAR has 1314 (99.1%) missing values Missing
APPLICATION_HALE_SCHOLAR has 1301 (98.1%) missing values Missing
APPLICATION_IMPACT_SCHOLARSHIP has 1323 (99.8%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_ADMIT has 1322 (99.7%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_APPLICANT has 1326 (100.0%) missing values Missing
APPLICATION_MUSIC_SCHOLARSHIP has 1326 (100.0%) missing values Missing
APPLICATION_PRESIDENTIAL_SCHOLAR has 1306 (98.5%) missing values Missing
APPLICATION_REGENT_SCHOLARSHIP has 1318 (99.4%) missing values Missing
APPLICATION_SEWALL_SCHOLAR has 1291 (97.4%) missing values Missing
APPLICATION_EXCEL has 1308 (98.6%) missing values Missing
PERSON_TUITION_CLASSIFICATION has 1324 (99.8%) missing values Missing
APPLICATION_ADMITTED_FROM_WAITLIST has 1294 (97.6%) missing values Missing
PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS has 1324 (99.8%) missing values Missing
PERSON_PRE_COLLEGIATE_RURAL has 1325 (99.9%) missing values Missing
PERSON_PRE_COLLEGIATE_WESTERN_SLOPE has 1325 (99.9%) missing values Missing
PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS has 1324 (99.8%) missing values Missing
PERSON_DANIEL_S_SCHOLAR has 1326 (100.0%) missing values Missing
PERSON_ENGINEARME has 1326 (100.0%) missing values Missing
HS_CITY_LOCATION has 451 (34.0%) missing values Missing
HS_TOT_ENROLLMENT has 308 (23.2%) missing values Missing
HS_NCES_ID has 308 (23.2%) missing values Missing
HS_NAME has 308 (23.2%) missing values Missing
HS_TYPE has 308 (23.2%) missing values Missing
HS_STATE has 451 (34.0%) missing values Missing
HS_TEACHERS_FTE has 308 (23.2%) missing values Missing
HS_URBAN_CENTRIC_LOCALE_CODE has 308 (23.2%) missing values Missing
HS_ZIP has 451 (34.0%) missing values Missing
HS_ADDRESS has 451 (34.0%) missing values Missing
HS_TYPE_VALUE has 308 (23.2%) missing values Missing
HS_CLASSIFICATION has 308 (23.2%) missing values Missing
HS_CEEB has 308 (23.2%) missing values Missing
df_index has unique values Unique
APPLICATION_COMMON_APP_ID has unique values Unique
PERSON_REFERENCE_ID has unique values Unique
PERSON_CU_SIS_ID has unique values Unique
PERSON_MILITARY_STATUS is an unsupported type, check if it needs cleaning or further analysis Unsupported
1_HIGH_SCHOOL_HONORS is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_LEEDS_SCHOLAR_APPLICANT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_MUSIC_SCHOLARSHIP is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_DANIEL_S_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_ENGINEARME is an unsupported type, check if it needs cleaning or further analysis Unsupported
VIRTUAL_EVENT_ENGAGEMENT_COUNT has 1185 (89.4%) zeros Zeros

Reproduction

Analysis started2020-11-02 21:15:35.028499
Analysis finished2020-11-02 21:15:36.728010
Duration1.7 second
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml
,

df_index
Real number (&Ropf≥0)

UNIQUE

Distinct1326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74293.90799
Minimum284
Maximum95103
Zeros0
Zeros (%)0.0%
Memory size10.4 KiB
2020-11-02T14:15:36.807807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum284
5-th percentile34733.25
Q166321.25
median77770.5
Q388533
95-th percentile94112.25
Maximum95103
Range94819
Interquartile range (IQR)22211.75

Descriptive statistics

Standard deviation19094.24742
Coefficient of variation (CV)0.2570095979
Kurtosis4.105821786
Mean74293.90799
Median Absolute Deviation (MAD)11162.5
Skewness-1.851220951
Sum98513722
Variance364590284.4
MonotocityStrictly increasing
2020-11-02T14:15:36.971164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6758010.1%
 
8670210.1%
 
6622610.1%
 
8875510.1%
 
6008410.1%
 
1912610.1%
 
9490510.1%
 
8577010.1%
 
7105910.1%
 
8671910.1%
 
Other values (1316)131699.2%
 
ValueCountFrequency (%) 
28410.1%
 
33310.1%
 
35710.1%
 
51010.1%
 
64110.1%
 
ValueCountFrequency (%) 
9510310.1%
 
9509310.1%
 
9509110.1%
 
9508710.1%
 
9508610.1%
 

APPLICATION_COMMON_APP_ID
Categorical

UNIQUE

Distinct1326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
22780715-2020
 
1
24945332-2020
 
1
22859463-2020
 
1
24368604-2020
 
1
24026998-2020
 
1
Other values (1321)
1321 
ValueCountFrequency (%) 
22780715-202010.1%
 
24945332-202010.1%
 
22859463-202010.1%
 
24368604-202010.1%
 
24026998-202010.1%
 
23169128-202010.1%
 
22632867-202010.1%
 
22770778-202010.1%
 
22684671-202010.1%
 
24123420-202010.1%
 
Other values (1316)131699.2%
 
2020-11-02T14:15:37.146935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1326 ?
Unique (%)100.0%

PERSON_REFERENCE_ID
Categorical

UNIQUE

Distinct1326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
112090673
 
1
508328427
 
1
639628969
 
1
154857545
 
1
191053997
 
1
Other values (1321)
1321 
ValueCountFrequency (%) 
11209067310.1%
 
50832842710.1%
 
63962896910.1%
 
15485754510.1%
 
19105399710.1%
 
53799356010.1%
 
71620724710.1%
 
10583699710.1%
 
27330148910.1%
 
39903154810.1%
 
Other values (1316)131699.2%
 
2020-11-02T14:15:37.313900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1326 ?
Unique (%)100.0%

PERSON_CU_SIS_ID
Categorical

UNIQUE

Distinct1326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
109907997.0
 
1
109891641.0
 
1
109950591.0
 
1
109773801.0
 
1
109819509.0
 
1
Other values (1321)
1321 
ValueCountFrequency (%) 
109907997.010.1%
 
109891641.010.1%
 
109950591.010.1%
 
109773801.010.1%
 
109819509.010.1%
 
109688973.010.1%
 
109915422.010.1%
 
109922265.010.1%
 
109827180.010.1%
 
109350538.010.1%
 
Other values (1316)131699.2%
 
2020-11-02T14:15:37.479872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1326 ?
Unique (%)100.0%

YEAR
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2021
1326 
ValueCountFrequency (%) 
20211326100.0%
 
2020-11-02T14:15:37.612204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_FINAL_TERM
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2021 Fall
953 
2021 Spr
362 
2021 Sum
 
11
ValueCountFrequency (%) 
2021 Fall95371.9%
 
2021 Spr36227.3%
 
2021 Sum110.8%
 
2020-11-02T14:15:37.720202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_APPLIED_TERM
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2020 Fall
1298 
2019 Fall
 
12
2020 Sum
 
8
2020 Spr
 
7
2018 Fall
 
1
ValueCountFrequency (%) 
2020 Fall129897.9%
 
2019 Fall120.9%
 
2020 Sum80.6%
 
2020 Spr70.5%
 
2018 Fall10.1%
 
2020-11-02T14:15:37.837632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.1%

RESIDENCY_STATUS
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
Non-Resident
667 
Resident
476 
Non-Resident International
168 
Deferral - needs new TC review
 
15
ValueCountFrequency (%) 
Non-Resident66750.3%
 
Resident47635.9%
 
Non-Resident International16812.7%
 
Deferral - needs new TC review151.1%
 
2020-11-02T14:15:37.964451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_MULTIPLE_APPLICATIONS
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing1322
Missing (%)99.7%
Memory size10.4 KiB
1
 
4
(Missing)
1322 
ValueCountFrequency (%) 
140.3%
 
(Missing)132299.7%
 

PERSON_SEX
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
M
773 
F
553 
ValueCountFrequency (%) 
M77358.3%
 
F55341.7%
 
2020-11-02T14:15:38.081127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ETHNICITY
Categorical

MISSING

Distinct6
Distinct (%)0.5%
Missing34
Missing (%)2.6%
Memory size10.4 KiB
White
939 
Hispanic
172 
Asian
149 
Black or African American
 
14
American Indian or Alaska Native
 
13
ValueCountFrequency (%) 
White93970.8%
 
Hispanic17213.0%
 
Asian14911.2%
 
Black or African American141.1%
 
American Indian or Alaska Native131.0%
 
Native Hawaiian or Other Pacific Islander50.4%
 
(Missing)342.6%
 
2020-11-02T14:15:38.192211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_BIRTHDATE
Categorical

HIGH CARDINALITY

Distinct547
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2002-01-07
 
8
2002-03-12
 
8
2001-11-20
 
7
2002-08-09
 
7
2002-01-09
 
7
Other values (542)
1289 
ValueCountFrequency (%) 
2002-01-0780.6%
 
2002-03-1280.6%
 
2001-11-2070.5%
 
2002-08-0970.5%
 
2002-01-0970.5%
 
2002-04-1170.5%
 
2002-03-2970.5%
 
2001-11-0170.5%
 
2002-02-0270.5%
 
2002-04-1670.5%
 
Other values (537)125494.6%
 
2020-11-02T14:15:38.345633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique211 ?
Unique (%)15.9%

ADDRESS_STREET_COMBINED
Categorical

HIGH CARDINALITY

Distinct1311
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
nan
 
6
3-9D, Beijing Keji Huizhan Zhongxin No.48 Beisanhuan Xilu
 
4
2788 Moorhead Ave
 
3
1789 Linden Dr
 
2
495 Bighorn Cir
 
2
Other values (1306)
1309 
ValueCountFrequency (%) 
nan60.5%
 
3-9D, Beijing Keji Huizhan Zhongxin No.48 Beisanhuan Xilu40.3%
 
2788 Moorhead Ave30.2%
 
1789 Linden Dr20.2%
 
495 Bighorn Cir20.2%
 
1853 26th St20.2%
 
4591 Christensen Cir20.2%
 
2170 Balsam Ave20.2%
 
12 Elm Ln10.1%
 
8129 S Madison Way10.1%
 
Other values (1301)130198.1%
 
2020-11-02T14:15:38.526640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1303 ?
Unique (%)98.3%

ADDRESS_CITY
Categorical

HIGH CARDINALITY

Distinct624
Distinct (%)47.3%
Missing6
Missing (%)0.5%
Memory size10.4 KiB
Denver
 
81
Boulder
 
54
Littleton
 
25
Colorado Spgs
 
24
Austin
 
20
Other values (619)
1116 
ValueCountFrequency (%) 
Denver816.1%
 
Boulder544.1%
 
Littleton251.9%
 
Colorado Spgs241.8%
 
Austin201.5%
 
Hghlnds Ranch161.2%
 
Fort Collins151.1%
 
Parker151.1%
 
Longmont141.1%
 
Centennial141.1%
 
Other values (614)104278.6%
 
2020-11-02T14:15:38.701002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique440 ?
Unique (%)33.3%

ADDRESS_COUNTY
Categorical

HIGH CARDINALITY
MISSING

Distinct208
Distinct (%)18.2%
Missing181
Missing (%)13.7%
Memory size10.4 KiB
Boulder
97 
Denver
 
72
Arapahoe
 
61
Jefferson
 
60
Douglas
 
55
Other values (203)
800 
ValueCountFrequency (%) 
Boulder977.3%
 
Denver725.4%
 
Arapahoe614.6%
 
Jefferson604.5%
 
Douglas554.1%
 
Los Angeles473.5%
 
El Paso312.3%
 
Orange282.1%
 
Adams262.0%
 
Cook231.7%
 
Other values (198)64548.6%
 
(Missing)18113.7%
 
2020-11-02T14:15:38.876678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique80 ?
Unique (%)7.0%

ADDRESS_REGION
Categorical

HIGH CARDINALITY
MISSING

Distinct150
Distinct (%)11.7%
Missing40
Missing (%)3.0%
Memory size10.4 KiB
CO
494 
CA
186 
TX
57 
IL
53 
MA
 
34
Other values (145)
462 
ValueCountFrequency (%) 
CO49437.3%
 
CA18614.0%
 
TX574.3%
 
IL534.0%
 
MA342.6%
 
NY282.1%
 
NJ241.8%
 
PA231.7%
 
VA211.6%
 
CT191.4%
 
Other values (140)34726.2%
 
(Missing)403.0%
 
2020-11-02T14:15:39.048976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique87 ?
Unique (%)6.8%

ADDRESS_POSTAL
Categorical

HIGH CARDINALITY

Distinct1255
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
nan
 
52
100086
 
5
81631-
 
3
80305-3375
 
3
610000
 
2
Other values (1250)
1261 
ValueCountFrequency (%) 
nan523.9%
 
10008650.4%
 
81631-30.2%
 
80305-337530.2%
 
61000020.2%
 
56010220.2%
 
80123-652120.2%
 
80466-20.2%
 
10002220.2%
 
90025-594220.2%
 
Other values (1245)125194.3%
 
2020-11-02T14:15:39.221098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1239 ?
Unique (%)93.4%

ADDRESS_US_5_DIGIT_ZIP_CODE
Categorical

HIGH CARDINALITY

Distinct673
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
nan
178 
80111.0
 
17
80305.0
 
15
80301.0
 
15
80304.0
 
14
Other values (668)
1087 
ValueCountFrequency (%) 
nan17813.4%
 
80111.0171.3%
 
80305.0151.1%
 
80301.0151.1%
 
80304.0141.1%
 
80027.0141.1%
 
80127.0131.0%
 
80126.0110.8%
 
80134.0100.8%
 
80210.0100.8%
 
Other values (663)102977.6%
 
2020-11-02T14:15:39.394904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique495 ?
Unique (%)37.3%

ADDRESS_COUNTRY
Categorical

Distinct43
Distinct (%)3.3%
Missing6
Missing (%)0.5%
Memory size10.4 KiB
United States
1148 
China
 
31
Saudi Arabia
 
24
Kuwait
 
20
Brazil
 
11
Other values (38)
 
86
ValueCountFrequency (%) 
United States114886.6%
 
China312.3%
 
Saudi Arabia241.8%
 
Kuwait201.5%
 
Brazil110.8%
 
India110.8%
 
United Arab Emirates100.8%
 
Mexico50.4%
 
Colombia40.3%
 
United Kingdom40.3%
 
Other values (33)523.9%
 
(Missing)60.5%
 
2020-11-02T14:15:39.570232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique21 ?
Unique (%)1.6%

PERSON_HOME_SCHOOL
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing1325
Missing (%)99.9%
Memory size10.4 KiB
1
 
1
(Missing)
1325 
ValueCountFrequency (%) 
110.1%
 
(Missing)132599.9%
 

PERSON_ACT_MAX_COMPOSITE
Real number (&Ropf≥0)

MISSING

Distinct23
Distinct (%)4.6%
Missing824
Missing (%)62.1%
Infinite0
Infinite (%)0.0%
Mean27.34860558
Minimum14
Maximum36
Zeros0
Zeros (%)0.0%
Memory size10.4 KiB
2020-11-02T14:15:39.709036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile20
Q125
median27
Q330.75
95-th percentile35
Maximum36
Range22
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation4.316794947
Coefficient of variation (CV)0.157843329
Kurtosis-0.1579431447
Mean27.34860558
Median Absolute Deviation (MAD)3
Skewness-0.2543534992
Sum13729
Variance18.63471861
MonotocityNot monotonic
2020-11-02T14:15:40.181525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
25503.8%
 
29503.8%
 
27473.5%
 
26453.4%
 
32382.9%
 
28382.9%
 
30292.2%
 
31292.2%
 
24282.1%
 
23231.7%
 
Other values (13)1259.4%
 
(Missing)82462.1%
 
ValueCountFrequency (%) 
1410.1%
 
1520.2%
 
1630.2%
 
1740.3%
 
1840.3%
 
ValueCountFrequency (%) 
3660.5%
 
35211.6%
 
34110.8%
 
33211.6%
 
32382.9%
 

PERSON_SATI_MAX_TOTAL
Categorical

MISSING

Distinct1
Distinct (%)100.0%
Missing1325
Missing (%)99.9%
Memory size10.4 KiB
1460
1 
ValueCountFrequency (%) 
146010.1%
 
(Missing)132599.9%
 
2020-11-02T14:15:40.296526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_SATR_MAX_COMPS
Real number (&Ropf≥0)

MISSING

Distinct79
Distinct (%)8.6%
Missing412
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean1226.78337
Minimum730
Maximum1590
Zeros0
Zeros (%)0.0%
Memory size10.4 KiB
2020-11-02T14:15:40.418231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum730
5-th percentile1000
Q11130
median1220
Q31330
95-th percentile1470
Maximum1590
Range860
Interquartile range (IQR)200

Descriptive statistics

Standard deviation145.2374387
Coefficient of variation (CV)0.1183888225
Kurtosis0.1458951116
Mean1226.78337
Median Absolute Deviation (MAD)100
Skewness-0.1297824127
Sum1121280
Variance21093.91359
MonotocityNot monotonic
2020-11-02T14:15:40.561813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1200342.6%
 
1220342.6%
 
1190312.3%
 
1230292.2%
 
1260292.2%
 
1210262.0%
 
1160262.0%
 
1170241.8%
 
1350241.8%
 
1140231.7%
 
Other values (69)63447.8%
 
(Missing)41231.1%
 
ValueCountFrequency (%) 
73010.1%
 
75010.1%
 
76010.1%
 
78020.2%
 
79010.1%
 
ValueCountFrequency (%) 
159010.1%
 
158010.1%
 
157020.2%
 
156020.2%
 
155030.2%
 

PERSON_24_OR_MORE_HOURS_COLLEGE_WORK
Boolean

MISSING

Distinct1
Distinct (%)33.3%
Missing1323
Missing (%)99.8%
Memory size10.4 KiB
0
 
3
(Missing)
1323 
ValueCountFrequency (%) 
030.2%
 
(Missing)132399.8%
 

PERSON_APPLICANT_FIRST_GENERATION
Categorical

MISSING

Distinct1
Distinct (%)0.6%
Missing1152
Missing (%)86.9%
Memory size10.4 KiB
Yes
174 
ValueCountFrequency (%) 
Yes17413.1%
 
(Missing)115286.9%
 
2020-11-02T14:15:40.693952image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAMILY_SIZE
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
nan
1318 
11+
 
8
ValueCountFrequency (%) 
nan131899.4%
 
11+80.6%
 
2020-11-02T14:15:40.802480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PARENT_HIGHEST_EDUCATION
Categorical

Distinct7
Distinct (%)0.5%
Missing4
Missing (%)0.3%
Memory size10.4 KiB
G. Bachelor's Level Degree
615 
H. Some Graduate School
410 
C. High School Graduate or Equivalent
106 
D. Some College
90 
E. Technical School
 
50
Other values (2)
 
51
ValueCountFrequency (%) 
G. Bachelor's Level Degree61546.4%
 
H. Some Graduate School41030.9%
 
C. High School Graduate or Equivalent1068.0%
 
D. Some College906.8%
 
E. Technical School503.8%
 
B. Less Than High School Graduate493.7%
 
A. Not Indicated20.2%
 
(Missing)40.3%
 
2020-11-02T14:15:40.920628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PARENT_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)100.0%
Missing1324
Missing (%)99.8%
Memory size10.4 KiB
0
 
1
1
 
1
(Missing)
1324 
ValueCountFrequency (%) 
010.1%
 
110.1%
 
(Missing)132499.8%
 

PARENT_CU_EMPLOYMENT
Boolean

MISSING

Distinct2
Distinct (%)66.7%
Missing1323
Missing (%)99.8%
Memory size10.4 KiB
0
 
2
1
 
1
(Missing)
1323 
ValueCountFrequency (%) 
020.2%
 
110.1%
 
(Missing)132399.8%
 

PERSON_ENGLISH_NATIVE_LANGUAGE
Boolean

MISSING

Distinct2
Distinct (%)66.7%
Missing1323
Missing (%)99.8%
Memory size10.4 KiB
1
 
2
0
 
1
(Missing)
1323 
ValueCountFrequency (%) 
120.2%
 
010.1%
 
(Missing)132399.8%
 

PERSON_NATIVE_LANGUAGE
Categorical

Distinct21
Distinct (%)1.6%
Missing13
Missing (%)1.0%
Memory size10.4 KiB
EN
1171 
SP
 
45
AR
 
40
CM
 
16
PO
 
11
Other values (16)
 
30
ValueCountFrequency (%) 
EN117188.3%
 
SP453.4%
 
AR403.0%
 
CM161.2%
 
PO110.8%
 
FR50.4%
 
GE40.3%
 
PH30.2%
 
KO30.2%
 
TU20.2%
 
Other values (11)131.0%
 
(Missing)131.0%
 
2020-11-02T14:15:41.057028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique9 ?
Unique (%)0.7%

PERSON_GROSS_FAMILY_INCOME
Categorical

MISSING

Distinct7
Distinct (%)0.8%
Missing455
Missing (%)34.3%
Memory size10.4 KiB
G. More than $150,000
455 
F. $100,000 - $149,999
152 
E. $75,000 - $99,999
83 
C. $35,000 - $59,999
60 
D. $60,000 - $74,999
52 
Other values (2)
69 
ValueCountFrequency (%) 
G. More than $150,00045534.3%
 
F. $100,000 - $149,99915211.5%
 
E. $75,000 - $99,999836.3%
 
C. $35,000 - $59,999604.5%
 
D. $60,000 - $74,999523.9%
 
B. $15,000 - $34,999503.8%
 
A. $0 - $15,000191.4%
 
(Missing)45534.3%
 
2020-11-02T14:15:41.189889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAFSA_SUBMITTED
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing568
Missing (%)42.8%
Memory size10.4 KiB
1
758 
(Missing)
568 
ValueCountFrequency (%) 
175857.2%
 
(Missing)56842.8%
 

PERSON_MILITARY_STATUS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

PERSON_HS_RANK_PERCENTILE
Real number (&Ropf≥0)

MISSING

Distinct82
Distinct (%)17.7%
Missing863
Missing (%)65.1%
Infinite0
Infinite (%)0.0%
Mean68.52699784
Minimum0
Maximum100
Zeros1
Zeros (%)0.1%
Memory size10.4 KiB
2020-11-02T14:15:41.319846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.1
Q153
median70
Q386
95-th percentile98
Maximum100
Range100
Interquartile range (IQR)33

Descriptive statistics

Standard deviation21.46251199
Coefficient of variation (CV)0.3131979026
Kurtosis-0.5424674273
Mean68.52699784
Median Absolute Deviation (MAD)16
Skewness-0.4846300107
Sum31728
Variance460.6394211
MonotocityNot monotonic
2020-11-02T14:15:41.470214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
82131.0%
 
96131.0%
 
84131.0%
 
79110.8%
 
64110.8%
 
80110.8%
 
93100.8%
 
99100.8%
 
83100.8%
 
68100.8%
 
Other values (72)35126.5%
 
(Missing)86365.1%
 
ValueCountFrequency (%) 
010.1%
 
810.1%
 
1110.1%
 
1720.2%
 
1830.2%
 
ValueCountFrequency (%) 
10080.6%
 
99100.8%
 
9870.5%
 
9780.6%
 
96131.0%
 

PERSON_HS_EQUIVALENCY
Boolean

MISSING

Distinct1
Distinct (%)50.0%
Missing1324
Missing (%)99.8%
Memory size10.4 KiB
1
 
2
(Missing)
1324 
ValueCountFrequency (%) 
120.2%
 
(Missing)132499.8%
 

PERSON_CUMULATIVE_GPA
Real number (&Ropf≥0)

MISSING

Distinct57
Distinct (%)48.3%
Missing1208
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean3.462457627
Minimum0.25
Maximum4
Zeros0
Zeros (%)0.0%
Memory size10.4 KiB
2020-11-02T14:15:41.619184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.25
5-th percentile2
Q13.126
median3.7
Q34
95-th percentile4
Maximum4
Range3.75
Interquartile range (IQR)0.874

Descriptive statistics

Standard deviation0.6725728333
Coefficient of variation (CV)0.1942472387
Kurtosis5.034132017
Mean3.462457627
Median Absolute Deviation (MAD)0.3
Skewness-1.966956234
Sum408.57
Variance0.4523542161
MonotocityNot monotonic
2020-11-02T14:15:41.768945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4362.7%
 
3110.8%
 
3.780.6%
 
240.3%
 
3.330.2%
 
3.8520.2%
 
3.82920.2%
 
3.7520.2%
 
3.42920.2%
 
3.24710.1%
 
Other values (47)473.5%
 
(Missing)120891.1%
 
ValueCountFrequency (%) 
0.2510.1%
 
110.1%
 
1.710.1%
 
240.3%
 
2.07510.1%
 
ValueCountFrequency (%) 
4362.7%
 
3.9710.1%
 
3.92510.1%
 
3.9210.1%
 
3.91710.1%
 

PERSON_HS_GPA_CONVERT
Real number (&Ropf≥0)

MISSING

Distinct536
Distinct (%)42.8%
Missing73
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean3.604783719
Minimum2.224
Maximum4
Zeros0
Zeros (%)0.0%
Memory size10.4 KiB
2020-11-02T14:15:41.928303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.224
5-th percentile2.96
Q13.34
median3.661
Q33.993
95-th percentile4
Maximum4
Range1.776
Interquartile range (IQR)0.653

Descriptive statistics

Standard deviation0.3664320069
Coefficient of variation (CV)0.1016515928
Kurtosis-0.1706022648
Mean3.604783719
Median Absolute Deviation (MAD)0.329
Skewness-0.7154635205
Sum4516.794
Variance0.1342724156
MonotocityNot monotonic
2020-11-02T14:15:42.078728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
431223.5%
 
3.4131.0%
 
3.5100.8%
 
390.7%
 
3.3280.6%
 
3.380.6%
 
3.2580.6%
 
3.8680.6%
 
3.770.5%
 
3.4770.5%
 
Other values (526)86365.1%
 
(Missing)735.5%
 
ValueCountFrequency (%) 
2.22410.1%
 
2.3210.1%
 
2.3510.1%
 
2.4210.1%
 
2.4610.1%
 
ValueCountFrequency (%) 
431223.5%
 
3.99610.1%
 
3.99310.1%
 
3.9950.4%
 
3.98520.2%
 

PERSON_HS_GPA_SR
Categorical

HIGH CARDINALITY
MISSING

Distinct544
Distinct (%)61.2%
Missing437
Missing (%)33.0%
Memory size10.4 KiB
4.00
 
14
3.70
 
11
3.76
 
8
3.00
 
8
3.25
 
7
Other values (539)
841 
ValueCountFrequency (%) 
4.00141.1%
 
3.70110.8%
 
3.7680.6%
 
3.0080.6%
 
3.2570.5%
 
3.8570.5%
 
4.0870.5%
 
3.4270.5%
 
3.3070.5%
 
3.7470.5%
 
Other values (534)80660.8%
 
(Missing)43733.0%
 
2020-11-02T14:15:42.263046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique409 ?
Unique (%)46.0%

1_HIGH_SCHOOL_CEEB_CODE
Categorical

HIGH CARDINALITY

Distinct822
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
060400
 
29
060118
 
25
060515
 
23
060115
 
20
060130
 
13
Other values (817)
1216 
ValueCountFrequency (%) 
060400292.2%
 
060118251.9%
 
060515231.7%
 
060115201.5%
 
060130131.0%
 
060928120.9%
 
06074890.7%
 
06086590.7%
 
06074790.7%
 
05017090.7%
 
Other values (812)116888.1%
 
2020-11-02T14:15:42.441247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique632 ?
Unique (%)47.7%

1_HIGH_SCHOOL_NAME
Categorical

HIGH CARDINALITY

Distinct873
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
East High School
 
26
Fairview High School
 
22
Cherry Creek High School
 
21
Boulder High School
 
19
Monarch High School
 
12
Other values (868)
1226 
ValueCountFrequency (%) 
East High School262.0%
 
Fairview High School221.7%
 
Cherry Creek High School211.6%
 
Boulder High School191.4%
 
Monarch High School120.9%
 
Arapahoe High School110.8%
 
Centaurus High School90.7%
 
Rock Canyon High School80.6%
 
Westlake High School80.6%
 
Colorado Academy70.5%
 
Other values (863)118389.2%
 
2020-11-02T14:15:42.615921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique691 ?
Unique (%)52.1%

1_HIGH_SCHOOL_ATTENDED_TO_DATE
Date

Distinct28
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
Minimum2015-05-01 00:00:00
Maximum2022-06-01 00:00:00
2020-11-02T14:15:42.755847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:15:42.877979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

1_HIGH_SCHOOL_REGION
Categorical

HIGH CARDINALITY
MISSING

Distinct90
Distinct (%)7.4%
Missing117
Missing (%)8.8%
Memory size10.4 KiB
CO
477 
CA
191 
TX
59 
IL
55 
MA
 
33
Other values (85)
394 
ValueCountFrequency (%) 
CO47736.0%
 
CA19114.4%
 
TX594.4%
 
IL554.1%
 
MA332.5%
 
NY251.9%
 
NJ251.9%
 
PA211.6%
 
CT191.4%
 
VA191.4%
 
Other values (80)28521.5%
 
(Missing)1178.8%
 
2020-11-02T14:15:43.030216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique35 ?
Unique (%)2.9%

1_HIGH_SCHOOL_CITY
Categorical

HIGH CARDINALITY

Distinct683
Distinct (%)51.7%
Missing6
Missing (%)0.5%
Memory size10.4 KiB
Denver
 
57
Boulder
 
36
DENVER
 
27
Englewood
 
23
Littleton
 
19
Other values (678)
1158 
ValueCountFrequency (%) 
Denver574.3%
 
Boulder362.7%
 
DENVER272.0%
 
Englewood231.7%
 
Littleton191.4%
 
Austin171.3%
 
Aurora161.2%
 
Lafayette151.1%
 
BOULDER141.1%
 
COLORADO SPRINGS131.0%
 
Other values (673)108381.7%
 
2020-11-02T14:15:43.200107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique487 ?
Unique (%)36.9%

1_HIGH_SCHOOL_TYPE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
High School
1326 
ValueCountFrequency (%) 
High School1326100.0%
 
2020-11-02T14:15:43.334404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

1_HIGH_SCHOOL_HONORS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

CUB_IS__1_CHOICE
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing577
Missing (%)43.5%
Memory size10.4 KiB
Other college listed
744 
Yes
 
5
ValueCountFrequency (%) 
Other college listed74456.1%
 
Yes50.4%
 
(Missing)57743.5%
 
2020-11-02T14:15:43.446685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_CU_SIS_APP_MATRICULATED
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
No
1317 
Yes
 
9
ValueCountFrequency (%) 
No131799.3%
 
Yes90.7%
 

ADMITTED_COLLEGE
Categorical

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
ARSCU
566 
MULTU
366 
ENGRU
232 
BUSNU
77 
CMCIU
 
46
Other values (3)
 
39
ValueCountFrequency (%) 
ARSCU56642.7%
 
MULTU36627.6%
 
ENGRU23217.5%
 
BUSNU775.8%
 
CMCIU463.5%
 
ARPLU221.7%
 
EDUCU141.1%
 
MUSCU30.2%
 
2020-11-02T14:15:43.571097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_COLLEGE
Categorical

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
College of Arts & Sciences
585 
College of Engineering & Applied Science
310 
Leeds School of Business
243 
Program in Exploratory Studies
69 
College of Media, Communication & Information
62 
Other values (3)
 
57
ValueCountFrequency (%) 
College of Arts & Sciences58544.1%
 
College of Engineering & Applied Science31023.4%
 
Leeds School of Business24318.3%
 
Program in Exploratory Studies695.2%
 
College of Media, Communication & Information624.7%
 
Program in Environmental Design282.1%
 
School of Education171.3%
 
College of Music120.9%
 
2020-11-02T14:15:43.694127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_INTEREST
Categorical

HIGH CARDINALITY

Distinct72
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
Business - Open Option (Undecided)
155 
Psychology
98 
Arts and Sciences - Open Option (Undecided)
93 
Exploratory Studies/University-wide Open Option (Undecided)
 
69
Aerospace Engineering Sciences
 
54
Other values (67)
857 
ValueCountFrequency (%) 
Business - Open Option (Undecided)15511.7%
 
Psychology987.4%
 
Arts and Sciences - Open Option (Undecided)937.0%
 
Exploratory Studies/University-wide Open Option (Undecided)695.2%
 
Aerospace Engineering Sciences544.1%
 
Computer Science (Engineering, BS)463.5%
 
Mechanical Engineering453.4%
 
Engineering - Open Option (Undecided)372.8%
 
Biological Sciences-Integrative Physiology342.6%
 
Political Science332.5%
 
Other values (62)66249.9%
 
2020-11-02T14:15:43.848348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)0.3%

APPLICATION_SUBMITTED_DATE
Categorical

HIGH CARDINALITY

Distinct150
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2019-10-15 12:00 AM
185 
2019-11-15 12:00 AM
142 
2020-01-15 12:00 AM
123 
2019-11-14 12:00 AM
86 
2020-01-14 12:00 AM
76 
Other values (145)
714 
ValueCountFrequency (%) 
2019-10-15 12:00 AM18514.0%
 
2019-11-15 12:00 AM14210.7%
 
2020-01-15 12:00 AM1239.3%
 
2019-11-14 12:00 AM866.5%
 
2020-01-14 12:00 AM765.7%
 
2020-01-16 12:00 AM453.4%
 
2019-11-13 12:00 AM382.9%
 
2019-10-16 12:00 AM332.5%
 
2020-01-12 12:00 AM332.5%
 
2019-11-12 12:00 AM251.9%
 
Other values (140)54040.7%
 
2020-11-02T14:15:44.031222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique55 ?
Unique (%)4.1%

APPLICATION_FINAL_RECOMMENDED_DECISION_FROM_READER_FORM
Categorical

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
Admit First Choice Program
953 
Admit Exploratory Studies
268 
Admit Pre Business
 
54
Admit Pre Engineering
 
20
Admit McNeill
 
15
Other values (3)
 
16
ValueCountFrequency (%) 
Admit First Choice Program95371.9%
 
Admit Exploratory Studies26820.2%
 
Admit Pre Business544.1%
 
Admit Pre Engineering201.5%
 
Admit McNeill151.1%
 
Admit McNeill to Exploratory Studies70.5%
 
Admit Exploratory Studies with GoldShirt Invite70.5%
 
Admit Exploratory Studies with Excel Invite20.2%
 
2020-11-02T14:15:44.176236image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADMIT_DECISION_RELEASED_DATE
Categorical

Distinct42
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2020-01-10 06:00 PM
625 
2020-03-06 06:33 PM
130 
2020-02-24 02:19 PM
126 
2020-03-26 06:46 PM
91 
2020-03-06 06:38 PM
87 
Other values (37)
267 
ValueCountFrequency (%) 
2020-01-10 06:00 PM62547.1%
 
2020-03-06 06:33 PM1309.8%
 
2020-02-24 02:19 PM1269.5%
 
2020-03-26 06:46 PM916.9%
 
2020-03-06 06:38 PM876.6%
 
2020-03-20 06:52 PM826.2%
 
2020-04-10 06:58 PM665.0%
 
2020-01-10 06:12 PM272.0%
 
2020-05-21 12:34 PM100.8%
 
2020-03-06 06:05 PM70.5%
 
Other values (32)755.7%
 
2020-11-02T14:15:44.319820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique14 ?
Unique (%)1.1%

ADMIT_DECISION_RECEIVED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct954
Distinct (%)72.9%
Missing18
Missing (%)1.4%
Memory size10.4 KiB
2020-01-10 06:50 PM
 
13
2020-01-10 06:47 PM
 
11
2020-01-10 06:49 PM
 
11
2020-01-10 06:52 PM
 
11
2020-01-10 06:51 PM
 
10
Other values (949)
1252 
ValueCountFrequency (%) 
2020-01-10 06:50 PM131.0%
 
2020-01-10 06:47 PM110.8%
 
2020-01-10 06:49 PM110.8%
 
2020-01-10 06:52 PM110.8%
 
2020-01-10 06:51 PM100.8%
 
2020-01-10 06:44 PM90.7%
 
2020-01-10 06:55 PM90.7%
 
2020-01-10 06:53 PM90.7%
 
2020-01-10 06:33 PM90.7%
 
2020-01-10 07:06 PM80.6%
 
Other values (944)120891.1%
 
(Missing)181.4%
 
2020-11-02T14:15:44.493114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique813 ?
Unique (%)62.2%

DEPOSIT_DECISION_CONFIRMED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct663
Distinct (%)66.6%
Missing331
Missing (%)25.0%
Memory size10.4 KiB
2020-05-01 05:39 PM
 
32
2020-04-30 06:12 PM
 
25
2020-04-29 06:45 PM
 
23
2020-04-20 09:35 AM
 
20
2020-04-08 11:24 AM
 
16
Other values (658)
879 
ValueCountFrequency (%) 
2020-05-01 05:39 PM322.4%
 
2020-04-30 06:12 PM251.9%
 
2020-04-29 06:45 PM231.7%
 
2020-04-20 09:35 AM201.5%
 
2020-04-08 11:24 AM161.2%
 
2020-04-24 06:05 PM151.1%
 
2020-04-27 06:55 PM141.1%
 
2020-05-04 07:40 PM141.1%
 
2020-04-13 06:50 PM131.0%
 
2020-04-28 06:58 PM110.8%
 
Other values (653)81261.2%
 
(Missing)33125.0%
 
2020-11-02T14:15:44.666748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique566 ?
Unique (%)56.9%

APPLICATION_HOUSING_APPLICATION_COMPLETED
Boolean

MISSING

Distinct1
Distinct (%)0.2%
Missing703
Missing (%)53.0%
Memory size10.4 KiB
1
623 
(Missing)
703 
ValueCountFrequency (%) 
162347.0%
 
(Missing)70353.0%
 

MOST_RECENT_DECISION__ANY_APP
Categorical

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
Defer (Deposit Paid)
946 
Defer Admit
294 
Deposit Paid
 
43
Admit
 
16
Defer (Deposit Pending)
 
15
Other values (2)
 
12
ValueCountFrequency (%) 
Defer (Deposit Paid)94671.3%
 
Defer Admit29422.2%
 
Deposit Paid433.2%
 
Admit161.2%
 
Defer (Deposit Pending)151.1%
 
Withdraw100.8%
 
Deposit Pending20.2%
 
2020-11-02T14:15:44.804740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PAST_APP_HISTORY
Categorical

MISSING

Distinct4
Distinct (%)100.0%
Missing1322
Missing (%)99.7%
Memory size10.4 KiB
2019 Fall FR (2019-04-25 Waitlist: Waitlist)
1 
2018 Fall FR (2018-04-22 Withdraw: Decline Offer of Admission)
1 
2019 Fall FR (2019-04-29 Waitlist: Waitlist)
1 
2019 Fall FR (2019-01-11 Admit: Admit Exploratory Studies)
1 
ValueCountFrequency (%) 
2019 Fall FR (2019-04-25 Waitlist: Waitlist)10.1%
 
2018 Fall FR (2018-04-22 Withdraw: Decline Offer of Admission)10.1%
 
2019 Fall FR (2019-04-29 Waitlist: Waitlist)10.1%
 
2019 Fall FR (2019-01-11 Admit: Admit Exploratory Studies)10.1%
 
(Missing)132299.7%
 
2020-11-02T14:15:44.916619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)100.0%

PERSON_ENGAGEMENT
Categorical

MISSING

Distinct6
Distinct (%)1.2%
Missing820
Missing (%)61.8%
Memory size10.4 KiB
Black
242 
Red
219 
Green
27 
Blue
 
9
Purple
 
8
ValueCountFrequency (%) 
Black24218.3%
 
Red21916.5%
 
Green272.0%
 
Blue90.7%
 
Purple80.6%
 
Yellow10.1%
 
(Missing)82061.8%
 
2020-11-02T14:15:45.037328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.2%

TOTAL_PING_TIME__SEC
Real number (&Ropf≥0)

Distinct579
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267.280543
Minimum0
Maximum2487
Zeros12
Zeros (%)0.9%
Memory size10.4 KiB
2020-11-02T14:15:45.562504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q190.25
median205
Q3372.75
95-th percentile686.75
Maximum2487
Range2487
Interquartile range (IQR)282.5

Descriptive statistics

Standard deviation243.8489381
Coefficient of variation (CV)0.9123332938
Kurtosis9.073450589
Mean267.280543
Median Absolute Deviation (MAD)130
Skewness2.148760089
Sum354414
Variance59462.30463
MonotocityNot monotonic
2020-11-02T14:15:45.718790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0120.9%
 
111120.9%
 
33110.8%
 
6690.7%
 
9680.6%
 
6580.6%
 
2680.6%
 
10070.5%
 
2170.5%
 
11070.5%
 
Other values (569)123793.3%
 
ValueCountFrequency (%) 
0120.9%
 
240.3%
 
320.2%
 
450.4%
 
510.1%
 
ValueCountFrequency (%) 
248710.1%
 
182110.1%
 
165510.1%
 
156410.1%
 
149710.1%
 

MESSAGE_COUNT
Real number (&Ropf≥0)

Distinct61
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.413273
Minimum3
Maximum75
Zeros0
Zeros (%)0.0%
Memory size10.4 KiB
2020-11-02T14:15:45.872214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile12
Q121
median27
Q336
95-th percentile47.75
Maximum75
Range72
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.97735324
Coefficient of variation (CV)0.3863459601
Kurtosis0.1515812295
Mean28.413273
Median Absolute Deviation (MAD)7
Skewness0.4043790102
Sum37676
Variance120.5022841
MonotocityNot monotonic
2020-11-02T14:15:46.018482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
23544.1%
 
27534.0%
 
28513.8%
 
26503.8%
 
21503.8%
 
20483.6%
 
25463.5%
 
30463.5%
 
22463.5%
 
24423.2%
 
Other values (51)84063.3%
 
ValueCountFrequency (%) 
330.2%
 
420.2%
 
520.2%
 
650.4%
 
730.2%
 
ValueCountFrequency (%) 
7510.1%
 
7110.1%
 
6710.1%
 
6610.1%
 
6320.2%
 

VIRTUAL_EVENT_ENGAGEMENT_COUNT
Real number (&Ropf≥0)

ZEROS

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1259426848
Minimum0
Maximum4
Zeros1185
Zeros (%)89.4%
Memory size10.4 KiB
2020-11-02T14:15:46.147746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.399969406
Coefficient of variation (CV)3.175804984
Kurtosis19.33313487
Mean0.1259426848
Median Absolute Deviation (MAD)0
Skewness3.901398808
Sum167
Variance0.1599755258
MonotocityNot monotonic
2020-11-02T14:15:46.248919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
0118589.4%
 
11219.1%
 
2151.1%
 
340.3%
 
410.1%
 
ValueCountFrequency (%) 
0118589.4%
 
11219.1%
 
2151.1%
 
340.3%
 
410.1%
 
ValueCountFrequency (%) 
410.1%
 
340.3%
 
2151.1%
 
11219.1%
 
0118589.4%
 

ON_CAMPUS_ENGAGEMENT_COUNT
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
0
810 
1
477 
2
 
39
ValueCountFrequency (%) 
081061.1%
 
147736.0%
 
2392.9%
 
2020-11-02T14:15:46.376937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

MOST_RECENT_ON_CAMPUS_EVENT
Categorical

MISSING

Distinct28
Distinct (%)5.4%
Missing810
Missing (%)61.1%
Memory size10.4 KiB
Information Session & Campus Tour
398 
Explore CU Boulder
 
39
Ralphie's Group Visit
 
12
Engineer Your Future: Engineering Sampler
 
8
Information Session & Campus Tours
 
8
Other values (23)
51 
ValueCountFrequency (%) 
Information Session & Campus Tour39830.0%
 
Explore CU Boulder392.9%
 
Ralphie's Group Visit120.9%
 
Engineer Your Future: Engineering Sampler80.6%
 
Information Session & Campus Tours80.6%
 
Discover CU Boulder70.5%
 
Talented Scholars Day60.5%
 
Coffee Chat with Your Admissions Counselor - Sao Paulo50.4%
 
CU Boulder Virtual Meeting50.4%
 
Leeds School of Business Tour40.3%
 
Other values (18)241.8%
 
(Missing)81061.1%
 
2020-11-02T14:15:46.515959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique13 ?
Unique (%)2.5%

DATE_MOST_RECENT_ON_CAMPUS_EVENT
Date

MISSING

Distinct342
Distinct (%)66.3%
Missing810
Missing (%)61.1%
Memory size10.4 KiB
Minimum2017-06-12 09:30:00
Maximum2020-03-12 13:30:00
2020-11-02T14:15:46.662648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:15:46.806294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

OFF_CAMPUS_ENGAGEMENT_COUNT
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
0
1151 
1
161 
2
 
12
3
 
2
ValueCountFrequency (%) 
0115186.8%
 
116112.1%
 
2120.9%
 
320.2%
 
2020-11-02T14:15:46.945193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DEPOSIT_PAID
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
No
1283 
Yes
 
43
ValueCountFrequency (%) 
No128396.8%
 
Yes433.2%
 

DEPOSIT_PAID_CREATED_DATE
Date

MISSING

Distinct663
Distinct (%)66.6%
Missing331
Missing (%)25.0%
Memory size10.4 KiB
Minimum2019-03-14 15:02:37
Maximum2020-09-04 03:49:35
2020-11-02T14:15:47.075147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:15:47.221786image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

CURRENT_BIN_NAME
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
T - Future Cycle
1304 
R - Admit
 
12
U - Withdraw
 
10
ValueCountFrequency (%) 
T - Future Cycle130498.3%
 
R - Admit120.9%
 
U - Withdraw100.8%
 
2020-11-02T14:15:47.363447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

RELATION_SIBLING_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

RELATION_STEP_PARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

RELATION_GRANDPARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC
Categorical

MISSING

Distinct8
Distinct (%)3.2%
Missing1073
Missing (%)80.9%
Memory size10.4 KiB
Colorado Free Application Day (Colorado residents only)
216 
CU Boulder Legacy applicant (invitation only)
 
13
CU Boulder application workshop participant
 
8
Other pre-approved application fee waiver (must have valid code)
 
8
Active Duty or Veteran military personnel
 
3
Other values (3)
 
5
ValueCountFrequency (%) 
Colorado Free Application Day (Colorado residents only)21616.3%
 
CU Boulder Legacy applicant (invitation only)131.0%
 
CU Boulder application workshop participant80.6%
 
Other pre-approved application fee waiver (must have valid code)80.6%
 
Active Duty or Veteran military personnel30.2%
 
Pre-Collegiate Program participant (CO residents, by invitation only)20.2%
 
Outstanding Colorado Student (by invitation only)20.2%
 
EngiNearMe Program participant (by invitation only)10.1%
 
(Missing)107380.9%
 
2020-11-02T14:15:47.485528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.4%

APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing1325
Missing (%)99.9%
Memory size10.4 KiB
1
 
1
(Missing)
1325 
ValueCountFrequency (%) 
110.1%
 
(Missing)132599.9%
 

APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing1325
Missing (%)99.9%
Memory size10.4 KiB
1
 
1
(Missing)
1325 
ValueCountFrequency (%) 
110.1%
 
(Missing)132599.9%
 

PERSON_YEARS_LIVED_IN_U_S
Categorical

MISSING

Distinct3
Distinct (%)1.9%
Missing1167
Missing (%)88.0%
Memory size10.4 KiB
0
138 
<1
19 
>20
 
2
ValueCountFrequency (%) 
013810.4%
 
<1191.4%
 
>2020.2%
 
(Missing)116788.0%
 
2020-11-02T14:15:47.607004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_YEARS_LIVED_OUTSIDE_U_S
Categorical

MISSING

Distinct3
Distinct (%)0.3%
Missing254
Missing (%)19.2%
Memory size10.4 KiB
0
1023 
<1
 
47
>20
 
2
ValueCountFrequency (%) 
0102377.1%
 
<1473.5%
 
>2020.2%
 
(Missing)25419.2%
 
2020-11-02T14:15:47.732378image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing1322
Missing (%)99.7%
Memory size10.4 KiB
1
 
4
(Missing)
1322 
ValueCountFrequency (%) 
140.3%
 
(Missing)132299.7%
 

APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)14.3%
Missing1319
Missing (%)99.5%
Memory size10.4 KiB
1
 
7
(Missing)
1319 
ValueCountFrequency (%) 
170.5%
 
(Missing)131999.5%
 

APPLICATION_BAKER_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.6%
Missing1264
Missing (%)95.3%
Memory size10.4 KiB
1
 
62
(Missing)
1264 
ValueCountFrequency (%) 
1624.7%
 
(Missing)126495.3%
 

APPLICATION_CHANCELLOR_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.7%
Missing1181
Missing (%)89.1%
Memory size10.4 KiB
1
145 
(Missing)
1181 
ValueCountFrequency (%) 
114510.9%
 
(Missing)118189.1%
 

APPLICATION_DEAN_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)8.3%
Missing1314
Missing (%)99.1%
Memory size10.4 KiB
1
 
12
(Missing)
1314 
ValueCountFrequency (%) 
1120.9%
 
(Missing)131499.1%
 

APPLICATION_HALE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)4.0%
Missing1301
Missing (%)98.1%
Memory size10.4 KiB
1
 
25
(Missing)
1301 
ValueCountFrequency (%) 
1251.9%
 
(Missing)130198.1%
 

APPLICATION_IMPACT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)33.3%
Missing1323
Missing (%)99.8%
Memory size10.4 KiB
1
 
3
(Missing)
1323 
ValueCountFrequency (%) 
130.2%
 
(Missing)132399.8%
 

APPLICATION_LEEDS_SCHOLAR_ADMIT
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing1322
Missing (%)99.7%
Memory size10.4 KiB
1
 
4
(Missing)
1322 
ValueCountFrequency (%) 
140.3%
 
(Missing)132299.7%
 

APPLICATION_LEEDS_SCHOLAR_APPLICANT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

APPLICATION_MUSIC_SCHOLARSHIP
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

APPLICATION_PRESIDENTIAL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)5.0%
Missing1306
Missing (%)98.5%
Memory size10.4 KiB
1
 
20
(Missing)
1306 
ValueCountFrequency (%) 
1201.5%
 
(Missing)130698.5%
 

APPLICATION_REGENT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)12.5%
Missing1318
Missing (%)99.4%
Memory size10.4 KiB
1
 
8
(Missing)
1318 
ValueCountFrequency (%) 
180.6%
 
(Missing)131899.4%
 

APPLICATION_SEWALL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)2.9%
Missing1291
Missing (%)97.4%
Memory size10.4 KiB
1
 
35
(Missing)
1291 
ValueCountFrequency (%) 
1352.6%
 
(Missing)129197.4%
 

APPLICATION_EXCEL
Categorical

MISSING

Distinct3
Distinct (%)16.7%
Missing1308
Missing (%)98.6%
Memory size10.4 KiB
Excel referral
13 
Excel interview invite
3 
Excel admit
2 
ValueCountFrequency (%) 
Excel referral131.0%
 
Excel interview invite30.2%
 
Excel admit20.2%
 
(Missing)130898.6%
 
2020-11-02T14:15:47.856238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_TUITION_CLASSIFICATION
Boolean

MISSING

Distinct1
Distinct (%)50.0%
Missing1324
Missing (%)99.8%
Memory size10.4 KiB
1
 
2
(Missing)
1324 
ValueCountFrequency (%) 
120.2%
 
(Missing)132499.8%
 

APPLICATION_ADMITTED_FROM_WAITLIST
Boolean

MISSING

Distinct1
Distinct (%)3.1%
Missing1294
Missing (%)97.6%
Memory size10.4 KiB
1
 
32
(Missing)
1294 
ValueCountFrequency (%) 
1322.4%
 
(Missing)129497.6%
 

PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)50.0%
Missing1324
Missing (%)99.8%
Memory size10.4 KiB
1
 
2
(Missing)
1324 
ValueCountFrequency (%) 
120.2%
 
(Missing)132499.8%
 

PERSON_PRE_COLLEGIATE_RURAL
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing1325
Missing (%)99.9%
Memory size10.4 KiB
1
 
1
(Missing)
1325 
ValueCountFrequency (%) 
110.1%
 
(Missing)132599.9%
 

PERSON_PRE_COLLEGIATE_WESTERN_SLOPE
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing1325
Missing (%)99.9%
Memory size10.4 KiB
1
 
1
(Missing)
1325 
ValueCountFrequency (%) 
110.1%
 
(Missing)132599.9%
 

PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)50.0%
Missing1324
Missing (%)99.8%
Memory size10.4 KiB
1
 
2
(Missing)
1324 
ValueCountFrequency (%) 
120.2%
 
(Missing)132499.8%
 

PERSON_DANIEL_S_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

PERSON_ENGINEARME
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1326
Missing (%)100.0%
Memory size10.5 KiB

HS_CITY_LOCATION
Categorical

HIGH CARDINALITY
MISSING

Distinct365
Distinct (%)41.7%
Missing451
Missing (%)34.0%
Memory size10.4 KiB
Denver
 
63
Boulder
 
49
Highlands Ranch
 
23
Greenwood Village
 
23
Colorado Springs
 
19
Other values (360)
698 
ValueCountFrequency (%) 
Denver634.8%
 
Boulder493.7%
 
Highlands Ranch231.7%
 
Greenwood Village231.7%
 
Colorado Springs191.4%
 
Fort Collins181.4%
 
Littleton171.3%
 
Austin151.1%
 
Parker151.1%
 
Centennial141.1%
 
Other values (355)61946.7%
 
(Missing)45134.0%
 
2020-11-02T14:15:48.007339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique251 ?
Unique (%)28.7%

HS_TOT_ENROLLMENT
Real number (&Ropf≥0)

MISSING

Distinct518
Distinct (%)50.9%
Missing308
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean1662.182711
Minimum32
Maximum5934
Zeros0
Zeros (%)0.0%
Memory size10.4 KiB
2020-11-02T14:15:48.159702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile320.55
Q11001
median1684
Q32199.25
95-th percentile3040.45
Maximum5934
Range5902
Interquartile range (IQR)1198.25

Descriptive statistics

Standard deviation850.529306
Coefficient of variation (CV)0.5116942321
Kurtosis0.7588412775
Mean1662.182711
Median Absolute Deviation (MAD)582
Skewness0.4964564752
Sum1692102
Variance723400.1003
MonotocityNot monotonic
2020-11-02T14:15:48.306922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2603292.2%
 
2179251.9%
 
3720231.7%
 
2103201.5%
 
1712131.0%
 
2250120.9%
 
2266110.8%
 
828100.8%
 
233290.7%
 
249890.7%
 
Other values (508)85764.6%
 
(Missing)30823.2%
 
ValueCountFrequency (%) 
3210.1%
 
5720.2%
 
6230.2%
 
8510.1%
 
9010.1%
 
ValueCountFrequency (%) 
593410.1%
 
528610.1%
 
509810.1%
 
451710.1%
 
428710.1%
 

HS_NCES_ID
Categorical

HIGH CARDINALITY
MISSING

Distinct569
Distinct (%)55.9%
Missing308
Missing (%)23.2%
Memory size10.4 KiB
080336000338
 
29
080249000114
 
25
080291000186
 
23
080249000101
 
20
080249001632
 
13
Other values (564)
908 
ValueCountFrequency (%) 
080336000338292.2%
 
080249000114251.9%
 
080291000186231.7%
 
080249000101201.5%
 
080249001632131.0%
 
080531000873120.9%
 
06363900619590.7%
 
08024900010790.7%
 
08034500196190.7%
 
08034500174890.7%
 
Other values (559)86064.9%
 
(Missing)30823.2%
 
2020-11-02T14:15:48.487367image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique412 ?
Unique (%)40.5%

HS_NAME
Categorical

HIGH CARDINALITY
MISSING

Distinct559
Distinct (%)54.9%
Missing308
Missing (%)23.2%
Memory size10.4 KiB
East High School
 
30
Fairview High School
 
25
Cherry Creek High School
 
23
Boulder High School
 
20
Monarch High School
 
13
Other values (554)
907 
ValueCountFrequency (%) 
East High School302.3%
 
Fairview High School251.9%
 
Cherry Creek High School231.7%
 
Boulder High School201.5%
 
Monarch High School131.0%
 
Arapahoe High School120.9%
 
Menlo-Atherton High90.7%
 
Summit High School90.7%
 
Mountain Vista High School90.7%
 
Rock Canyon High School90.7%
 
Other values (549)85964.8%
 
(Missing)30823.2%
 
2020-11-02T14:15:48.667168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique400 ?
Unique (%)39.3%

HS_TYPE
Categorical

MISSING

Distinct5
Distinct (%)0.5%
Missing308
Missing (%)23.2%
Memory size10.4 KiB
1
996 
4
 
10
3
 
8
6
 
3
7
 
1
ValueCountFrequency (%) 
199675.1%
 
4100.8%
 
380.6%
 
630.2%
 
710.1%
 
(Missing)30823.2%
 
2020-11-02T14:15:48.815496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.1%

HS_STATE
Categorical

MISSING

Distinct46
Distinct (%)5.3%
Missing451
Missing (%)34.0%
Memory size10.4 KiB
CO
409 
CA
123 
IL
47 
TX
42 
MA
 
27
Other values (41)
227 
ValueCountFrequency (%) 
CO40930.8%
 
CA1239.3%
 
IL473.5%
 
TX423.2%
 
MA272.0%
 
NJ211.6%
 
CT191.4%
 
NY161.2%
 
PA151.1%
 
VA141.1%
 
Other values (36)14210.7%
 
(Missing)45134.0%
 
2020-11-02T14:15:48.965982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique7 ?
Unique (%)0.8%

HS_TEACHERS_FTE
Real number (&Ropf≥0)

MISSING

Distinct181
Distinct (%)17.8%
Missing308
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean93.65422397
Minimum1
Maximum284
Zeros0
Zeros (%)0.0%
Memory size10.4 KiB
2020-11-02T14:15:49.119415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.85
Q163
median93
Q3115
95-th percentile181
Maximum284
Range283
Interquartile range (IQR)52

Descriptive statistics

Standard deviation45.03939374
Coefficient of variation (CV)0.4809115043
Kurtosis1.235183801
Mean93.65422397
Median Absolute Deviation (MAD)27
Skewness0.7050834617
Sum95340
Variance2028.546988
MonotocityNot monotonic
2020-11-02T14:15:49.255038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
97372.8%
 
130332.5%
 
107241.8%
 
181231.7%
 
106211.6%
 
80211.6%
 
76201.5%
 
104171.3%
 
103161.2%
 
90161.2%
 
Other values (171)79059.6%
 
(Missing)30823.2%
 
ValueCountFrequency (%) 
120.2%
 
220.2%
 
320.2%
 
650.4%
 
810.1%
 
ValueCountFrequency (%) 
28410.1%
 
26910.1%
 
26810.1%
 
26310.1%
 
25730.2%
 

HS_URBAN_CENTRIC_LOCALE_CODE
Categorical

MISSING

Distinct12
Distinct (%)1.2%
Missing308
Missing (%)23.2%
Memory size10.4 KiB
21
381 
11
200 
12
127 
41
107 
13
75 
Other values (7)
128 
ValueCountFrequency (%) 
2138128.7%
 
1120015.1%
 
121279.6%
 
411078.1%
 
13755.7%
 
33292.2%
 
22211.6%
 
23211.6%
 
31171.3%
 
42161.2%
 
Other values (2)241.8%
 
(Missing)30823.2%
 
2020-11-02T14:15:49.401773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_ZIP
Categorical

HIGH CARDINALITY
MISSING

Distinct439
Distinct (%)50.2%
Missing451
Missing (%)34.0%
Memory size10.4 KiB
80206
 
29
80305
 
25
80111
 
23
80302
 
21
80027
 
13
Other values (434)
764 
ValueCountFrequency (%) 
80206292.2%
 
80305251.9%
 
80111231.7%
 
80302211.6%
 
80027131.0%
 
80138120.9%
 
80122120.9%
 
80020110.8%
 
80127110.8%
 
8002690.7%
 
Other values (429)70953.5%
 
(Missing)45134.0%
 
2020-11-02T14:15:49.558231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique302 ?
Unique (%)34.5%

HS_ADDRESS
Categorical

HIGH CARDINALITY
MISSING

Distinct465
Distinct (%)53.1%
Missing451
Missing (%)34.0%
Memory size10.4 KiB
1600 City Park Esplanade
 
29
1515 Greenbriar Boulevard
 
25
9300 East Union Avenue
 
23
1604 Arapahoe Avenue
 
20
329 Campus Drive
 
13
Other values (460)
765 
ValueCountFrequency (%) 
1600 City Park Esplanade292.2%
 
1515 Greenbriar Boulevard251.9%
 
9300 East Union Avenue231.7%
 
1604 Arapahoe Avenue201.5%
 
329 Campus Drive131.0%
 
2201 East Dry Creek Road120.9%
 
5810 Mcarthur Ranch Road90.7%
 
10300 South Boulder Road90.7%
 
555 Midfield Rd.90.7%
 
10585 Mountain Vista Ridge90.7%
 
Other values (455)71754.1%
 
(Missing)45134.0%
 
2020-11-02T14:15:49.731151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique325 ?
Unique (%)37.1%

HS_TYPE_VALUE
Categorical

MISSING

Distinct8
Distinct (%)0.8%
Missing308
Missing (%)23.2%
Memory size10.4 KiB
Regular School
854 
Regular Elementary Or Secondary
142 
Other/Alternative School
 
9
Special Program Emphasis
 
7
Alternative/Other
 
3
Other values (3)
 
3
ValueCountFrequency (%) 
Regular School85464.4%
 
Regular Elementary Or Secondary14210.7%
 
Other/Alternative School90.7%
 
Special Program Emphasis70.5%
 
Alternative/Other30.2%
 
Special Education10.1%
 
Early Childhood Program/Child Care Center10.1%
 
Vocational School10.1%
 
(Missing)30823.2%
 
2020-11-02T14:15:49.871952image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)0.3%

HS_CLASSIFICATION
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing308
Missing (%)23.2%
Memory size10.4 KiB
Public
864 
Private
154 
ValueCountFrequency (%) 
Public86465.2%
 
Private15411.6%
 
(Missing)30823.2%
 
2020-11-02T14:15:49.982603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_CEEB
Categorical

HIGH CARDINALITY
MISSING

Distinct570
Distinct (%)56.0%
Missing308
Missing (%)23.2%
Memory size10.4 KiB
060400
 
29
060118
 
25
060515
 
23
060115
 
20
060130
 
13
Other values (565)
908 
ValueCountFrequency (%) 
060400292.2%
 
060118251.9%
 
060515231.7%
 
060115201.5%
 
060130131.0%
 
060928120.9%
 
06086590.7%
 
06074790.7%
 
05017090.7%
 
06074890.7%
 
Other values (560)86064.9%
 
(Missing)30823.2%
 
2020-11-02T14:15:50.132906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique412 ?
Unique (%)40.5%
] [

Dataset statistics

Number of variables123
Number of observations1
Missing cells50
Missing cells (%)40.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory1.1 KiB

Variable types

CAT66
UNSUPPORTED50
BOOL4
DATE3

Warnings

df_index has constant value "1" Constant
APPLICATION_COMMON_APP_ID has constant value "1" Constant
PERSON_REFERENCE_ID has constant value "1" Constant
PERSON_CU_SIS_ID has constant value "1" Constant
YEAR has constant value "1" Constant
APPLICATION_FINAL_TERM has constant value "1" Constant
APPLICATION_APPLIED_TERM has constant value "1" Constant
RESIDENCY_STATUS has constant value "1" Constant
PERSON_SEX has constant value "1" Constant
ETHNICITY has constant value "1" Constant
PERSON_BIRTHDATE has constant value "1" Constant
ADDRESS_STREET_COMBINED has constant value "1" Constant
ADDRESS_CITY has constant value "1" Constant
ADDRESS_COUNTY has constant value "1" Constant
ADDRESS_REGION has constant value "1" Constant
ADDRESS_POSTAL has constant value "1" Constant
ADDRESS_US_5_DIGIT_ZIP_CODE has constant value "1" Constant
ADDRESS_COUNTRY has constant value "1" Constant
PERSON_ACT_MAX_COMPOSITE has constant value "1" Constant
PERSON_SATR_MAX_COMPS has constant value "1" Constant
PERSON_APPLICANT_FIRST_GENERATION has constant value "1" Constant
PERSON_FAMILY_SIZE has constant value "1" Constant
PARENT_HIGHEST_EDUCATION has constant value "1" Constant
PERSON_NATIVE_LANGUAGE has constant value "1" Constant
PERSON_GROSS_FAMILY_INCOME has constant value "1" Constant
PERSON_FAFSA_SUBMITTED has constant value "1" Constant
PERSON_HS_RANK_PERCENTILE has constant value "1" Constant
PERSON_HS_GPA_CONVERT has constant value "1" Constant
PERSON_HS_GPA_SR has constant value "1" Constant
1_HIGH_SCHOOL_CEEB_CODE has constant value "1" Constant
1_HIGH_SCHOOL_NAME has constant value "1" Constant
1_HIGH_SCHOOL_ATTENDED_TO_DATE has constant value "1" Constant
1_HIGH_SCHOOL_REGION has constant value "1" Constant
1_HIGH_SCHOOL_CITY has constant value "1" Constant
1_HIGH_SCHOOL_TYPE has constant value "1" Constant
CUB_IS__1_CHOICE has constant value "1" Constant
APPLICATION_CU_SIS_APP_MATRICULATED has constant value "1" Constant
ADMITTED_COLLEGE has constant value "1" Constant
APPLICATION_ORIGINAL_ACADEMIC_COLLEGE has constant value "1" Constant
APPLICATION_ORIGINAL_ACADEMIC_INTEREST has constant value "1" Constant
APPLICATION_SUBMITTED_DATE has constant value "1" Constant
APPLICATION_FINAL_RECOMMENDED_DECISION_FROM_READER_FORM has constant value "1" Constant
ADMIT_DECISION_RELEASED_DATE has constant value "1" Constant
ADMIT_DECISION_RECEIVED_DATE has constant value "1" Constant
DEPOSIT_DECISION_CONFIRMED_DATE has constant value "1" Constant
MOST_RECENT_DECISION__ANY_APP has constant value "1" Constant
PERSON_ENGAGEMENT has constant value "1" Constant
TOTAL_PING_TIME__SEC has constant value "1" Constant
MESSAGE_COUNT has constant value "1" Constant
VIRTUAL_EVENT_ENGAGEMENT_COUNT has constant value "1" Constant
ON_CAMPUS_ENGAGEMENT_COUNT has constant value "1" Constant
MOST_RECENT_ON_CAMPUS_EVENT has constant value "1" Constant
DATE_MOST_RECENT_ON_CAMPUS_EVENT has constant value "1" Constant
OFF_CAMPUS_ENGAGEMENT_COUNT has constant value "1" Constant
DEPOSIT_PAID has constant value "1" Constant
DEPOSIT_PAID_CREATED_DATE has constant value "1" Constant
CURRENT_BIN_NAME has constant value "1" Constant
APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC has constant value "1" Constant
PERSON_YEARS_LIVED_OUTSIDE_U_S has constant value "1" Constant
PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS has constant value "1" Constant
HS_CITY_LOCATION has constant value "1" Constant
HS_TOT_ENROLLMENT has constant value "1" Constant
HS_NCES_ID has constant value "1" Constant
HS_NAME has constant value "1" Constant
HS_TYPE has constant value "1" Constant
HS_STATE has constant value "1" Constant
HS_TEACHERS_FTE has constant value "1" Constant
HS_URBAN_CENTRIC_LOCALE_CODE has constant value "1" Constant
HS_ZIP has constant value "1" Constant
HS_ADDRESS has constant value "1" Constant
HS_TYPE_VALUE has constant value "1" Constant
HS_CLASSIFICATION has constant value "1" Constant
HS_CEEB has constant value "1" Constant
PERSON_MULTIPLE_APPLICATIONS has 1 (100.0%) missing values Missing
PERSON_HOME_SCHOOL has 1 (100.0%) missing values Missing
PERSON_SATI_MAX_TOTAL has 1 (100.0%) missing values Missing
PERSON_24_OR_MORE_HOURS_COLLEGE_WORK has 1 (100.0%) missing values Missing
PARENT_CU_ATTENDANCE has 1 (100.0%) missing values Missing
PARENT_CU_EMPLOYMENT has 1 (100.0%) missing values Missing
PERSON_ENGLISH_NATIVE_LANGUAGE has 1 (100.0%) missing values Missing
PERSON_MILITARY_STATUS has 1 (100.0%) missing values Missing
PERSON_HS_EQUIVALENCY has 1 (100.0%) missing values Missing
PERSON_CUMULATIVE_GPA has 1 (100.0%) missing values Missing
1_HIGH_SCHOOL_HONORS has 1 (100.0%) missing values Missing
APPLICATION_HOUSING_APPLICATION_COMPLETED has 1 (100.0%) missing values Missing
PAST_APP_HISTORY has 1 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION has 1 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE has 1 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT has 1 (100.0%) missing values Missing
RELATION_SIBLING_HIGHEST_EDUCATION has 1 (100.0%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT has 1 (100.0%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE has 1 (100.0%) missing values Missing
RELATION_STEP_PARENT_HIGHEST_EDUCATION has 1 (100.0%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE has 1 (100.0%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT has 1 (100.0%) missing values Missing
RELATION_GRANDPARENT_HIGHEST_EDUCATION has 1 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT has 1 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE has 1 (100.0%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT has 1 (100.0%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT has 1 (100.0%) missing values Missing
APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL has 1 (100.0%) missing values Missing
PERSON_YEARS_LIVED_IN_U_S has 1 (100.0%) missing values Missing
APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR has 1 (100.0%) missing values Missing
APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR has 1 (100.0%) missing values Missing
APPLICATION_BAKER_SCHOLAR has 1 (100.0%) missing values Missing
APPLICATION_CHANCELLOR_SCHOLAR has 1 (100.0%) missing values Missing
APPLICATION_DEAN_SCHOLAR has 1 (100.0%) missing values Missing
APPLICATION_HALE_SCHOLAR has 1 (100.0%) missing values Missing
APPLICATION_IMPACT_SCHOLARSHIP has 1 (100.0%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_ADMIT has 1 (100.0%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_APPLICANT has 1 (100.0%) missing values Missing
APPLICATION_MUSIC_SCHOLARSHIP has 1 (100.0%) missing values Missing
APPLICATION_PRESIDENTIAL_SCHOLAR has 1 (100.0%) missing values Missing
APPLICATION_REGENT_SCHOLARSHIP has 1 (100.0%) missing values Missing
APPLICATION_SEWALL_SCHOLAR has 1 (100.0%) missing values Missing
APPLICATION_EXCEL has 1 (100.0%) missing values Missing
PERSON_TUITION_CLASSIFICATION has 1 (100.0%) missing values Missing
APPLICATION_ADMITTED_FROM_WAITLIST has 1 (100.0%) missing values Missing
PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS has 1 (100.0%) missing values Missing
PERSON_PRE_COLLEGIATE_RURAL has 1 (100.0%) missing values Missing
PERSON_PRE_COLLEGIATE_WESTERN_SLOPE has 1 (100.0%) missing values Missing
PERSON_DANIEL_S_SCHOLAR has 1 (100.0%) missing values Missing
PERSON_ENGINEARME has 1 (100.0%) missing values Missing
PERSON_MULTIPLE_APPLICATIONS is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_HOME_SCHOOL is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_SATI_MAX_TOTAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_24_OR_MORE_HOURS_COLLEGE_WORK is an unsupported type, check if it needs cleaning or further analysis Unsupported
PARENT_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
PARENT_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_ENGLISH_NATIVE_LANGUAGE is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_MILITARY_STATUS is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_HS_EQUIVALENCY is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_CUMULATIVE_GPA is an unsupported type, check if it needs cleaning or further analysis Unsupported
1_HIGH_SCHOOL_HONORS is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_HOUSING_APPLICATION_COMPLETED is an unsupported type, check if it needs cleaning or further analysis Unsupported
PAST_APP_HISTORY is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_YEARS_LIVED_IN_U_S is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_BAKER_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_CHANCELLOR_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_DEAN_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_HALE_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_IMPACT_SCHOLARSHIP is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_LEEDS_SCHOLAR_ADMIT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_LEEDS_SCHOLAR_APPLICANT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_MUSIC_SCHOLARSHIP is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_PRESIDENTIAL_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_REGENT_SCHOLARSHIP is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_SEWALL_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_EXCEL is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_TUITION_CLASSIFICATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ADMITTED_FROM_WAITLIST is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_PRE_COLLEGIATE_RURAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_PRE_COLLEGIATE_WESTERN_SLOPE is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_DANIEL_S_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_ENGINEARME is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2020-11-02 21:15:52.851975
Analysis finished2020-11-02 21:15:54.050605
Duration1.2 second
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml
,

df_index
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
28956
1 
ValueCountFrequency (%) 
289561100.0%
 
2020-11-02T14:15:54.112431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

APPLICATION_COMMON_APP_ID
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
24599587-2020
1 
ValueCountFrequency (%) 
24599587-20201100.0%
 
2020-11-02T14:15:54.228732image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_REFERENCE_ID
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
485339522
1 
ValueCountFrequency (%) 
4853395221100.0%
 
2020-11-02T14:15:54.344078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_CU_SIS_ID
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
109260175.0
1 
ValueCountFrequency (%) 
109260175.01100.0%
 
2020-11-02T14:15:54.459475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

YEAR
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
2022
1 
ValueCountFrequency (%) 
20221100.0%
 
2020-11-02T14:15:54.567701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

APPLICATION_FINAL_TERM
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
2022 Fall
1 
ValueCountFrequency (%) 
2022 Fall1100.0%
 
2020-11-02T14:15:54.671144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

APPLICATION_APPLIED_TERM
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
2020 Fall
1 
ValueCountFrequency (%) 
2020 Fall1100.0%
 
2020-11-02T14:15:54.775082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

RESIDENCY_STATUS
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Resident
1 
ValueCountFrequency (%) 
Resident1100.0%
 
2020-11-02T14:15:54.878239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_MULTIPLE_APPLICATIONS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_SEX
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
M
1 
ValueCountFrequency (%) 
M1100.0%
 
2020-11-02T14:15:54.981363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

ETHNICITY
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Hispanic
1 
ValueCountFrequency (%) 
Hispanic1100.0%
 
2020-11-02T14:15:55.084790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_BIRTHDATE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
2002-06-15
1 
ValueCountFrequency (%) 
2002-06-151100.0%
 
2020-11-02T14:15:55.188138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

ADDRESS_STREET_COMBINED
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
9595 Pecos St Lot 473
1 
ValueCountFrequency (%) 
9595 Pecos St Lot 4731100.0%
 
2020-11-02T14:15:55.291528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

ADDRESS_CITY
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Thornton
1 
ValueCountFrequency (%) 
Thornton1100.0%
 
2020-11-02T14:15:55.394479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

ADDRESS_COUNTY
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Adams
1 
ValueCountFrequency (%) 
Adams1100.0%
 
2020-11-02T14:15:55.497848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

ADDRESS_REGION
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
CO
1 
ValueCountFrequency (%) 
CO1100.0%
 
2020-11-02T14:15:55.601959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

ADDRESS_POSTAL
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
80260-5944
1 
ValueCountFrequency (%) 
80260-59441100.0%
 
2020-11-02T14:15:55.706326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

ADDRESS_US_5_DIGIT_ZIP_CODE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
80260.0
1 
ValueCountFrequency (%) 
80260.01100.0%
 
2020-11-02T14:15:55.809205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

ADDRESS_COUNTRY
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
United States
1 
ValueCountFrequency (%) 
United States1100.0%
 
2020-11-02T14:15:55.913547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_HOME_SCHOOL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_ACT_MAX_COMPOSITE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
16
1 
ValueCountFrequency (%) 
161100.0%
 
2020-11-02T14:15:56.396000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_SATI_MAX_TOTAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_SATR_MAX_COMPS
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
1000
1 
ValueCountFrequency (%) 
10001100.0%
 
2020-11-02T14:15:56.499244image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_24_OR_MORE_HOURS_COLLEGE_WORK
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_APPLICANT_FIRST_GENERATION
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Yes
1 
ValueCountFrequency (%) 
Yes1100.0%
 
2020-11-02T14:15:56.601910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_FAMILY_SIZE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
nan
1 
ValueCountFrequency (%) 
nan1100.0%
 
2020-11-02T14:15:56.704754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PARENT_HIGHEST_EDUCATION
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
B. Less Than High School Graduate
1 
ValueCountFrequency (%) 
B. Less Than High School Graduate1100.0%
 
2020-11-02T14:15:56.808889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PARENT_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PARENT_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_ENGLISH_NATIVE_LANGUAGE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_NATIVE_LANGUAGE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
EN
1 
ValueCountFrequency (%) 
EN1100.0%
 
2020-11-02T14:15:56.911968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_GROSS_FAMILY_INCOME
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
D. $60,000 - $74,999
1 
ValueCountFrequency (%) 
D. $60,000 - $74,9991100.0%
 
2020-11-02T14:15:57.014530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_FAFSA_SUBMITTED
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
1
1 
ValueCountFrequency (%) 
11100.0%
 

PERSON_MILITARY_STATUS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_HS_RANK_PERCENTILE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
92
1 
ValueCountFrequency (%) 
921100.0%
 
2020-11-02T14:15:57.118177image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_HS_EQUIVALENCY
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_CUMULATIVE_GPA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_HS_GPA_CONVERT
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
3.846
1 
ValueCountFrequency (%) 
3.8461100.0%
 
2020-11-02T14:15:57.221607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_HS_GPA_SR
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
3.846
1 
ValueCountFrequency (%) 
3.8461100.0%
 
2020-11-02T14:15:57.324797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

1_HIGH_SCHOOL_CEEB_CODE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
060429
1 
ValueCountFrequency (%) 
0604291100.0%
 
2020-11-02T14:15:57.427800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

1_HIGH_SCHOOL_NAME
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Northglenn High School
1 
ValueCountFrequency (%) 
Northglenn High School1100.0%
 
2020-11-02T14:15:57.531438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

1_HIGH_SCHOOL_ATTENDED_TO_DATE
Date

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Minimum2020-05-01 00:00:00
Maximum2020-05-01 00:00:00
2020-11-02T14:15:57.624569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:15:57.714769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

1_HIGH_SCHOOL_REGION
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
CO
1 
ValueCountFrequency (%) 
CO1100.0%
 
2020-11-02T14:15:57.819603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

1_HIGH_SCHOOL_CITY
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Northglenn
1 
ValueCountFrequency (%) 
Northglenn1100.0%
 
2020-11-02T14:15:57.922656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

1_HIGH_SCHOOL_TYPE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
High School
1 
ValueCountFrequency (%) 
High School1100.0%
 
2020-11-02T14:15:58.025584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

1_HIGH_SCHOOL_HONORS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

CUB_IS__1_CHOICE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Other college listed
1 
ValueCountFrequency (%) 
Other college listed1100.0%
 
2020-11-02T14:15:58.128745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

APPLICATION_CU_SIS_APP_MATRICULATED
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
No
1 
ValueCountFrequency (%) 
No1100.0%
 
2020-11-02T14:15:58.231907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

ADMITTED_COLLEGE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
ARSCU
1 
ValueCountFrequency (%) 
ARSCU1100.0%
 
2020-11-02T14:15:58.336496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

APPLICATION_ORIGINAL_ACADEMIC_COLLEGE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
College of Arts & Sciences
1 
ValueCountFrequency (%) 
College of Arts & Sciences1100.0%
 
2020-11-02T14:15:58.439640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

APPLICATION_ORIGINAL_ACADEMIC_INTEREST
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Political Science
1 
ValueCountFrequency (%) 
Political Science1100.0%
 
2020-11-02T14:15:58.542752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

APPLICATION_SUBMITTED_DATE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
2019-10-17 12:00 AM
1 
ValueCountFrequency (%) 
2019-10-17 12:00 AM1100.0%
 
2020-11-02T14:15:58.645837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

APPLICATION_FINAL_RECOMMENDED_DECISION_FROM_READER_FORM
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Admit First Choice Program
1 
ValueCountFrequency (%) 
Admit First Choice Program1100.0%
 
2020-11-02T14:15:58.751553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

ADMIT_DECISION_RELEASED_DATE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
2020-01-10 06:00 PM
1 
ValueCountFrequency (%) 
2020-01-10 06:00 PM1100.0%
 
2020-11-02T14:15:58.855662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

ADMIT_DECISION_RECEIVED_DATE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
2020-01-10 08:33 PM
1 
ValueCountFrequency (%) 
2020-01-10 08:33 PM1100.0%
 
2020-11-02T14:15:58.958957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

DEPOSIT_DECISION_CONFIRMED_DATE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
2020-01-21 10:53 PM
1 
ValueCountFrequency (%) 
2020-01-21 10:53 PM1100.0%
 
2020-11-02T14:15:59.062428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

APPLICATION_HOUSING_APPLICATION_COMPLETED
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

MOST_RECENT_DECISION__ANY_APP
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Defer (Deposit Paid)
1 
ValueCountFrequency (%) 
Defer (Deposit Paid)1100.0%
 
2020-11-02T14:15:59.165869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PAST_APP_HISTORY
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_ENGAGEMENT
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Green
1 
ValueCountFrequency (%) 
Green1100.0%
 
2020-11-02T14:15:59.269582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

TOTAL_PING_TIME__SEC
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
60
1 
ValueCountFrequency (%) 
601100.0%
 
2020-11-02T14:15:59.373022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

MESSAGE_COUNT
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
63
1 
ValueCountFrequency (%) 
631100.0%
 
2020-11-02T14:15:59.477383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

VIRTUAL_EVENT_ENGAGEMENT_COUNT
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
0
1 
ValueCountFrequency (%) 
01100.0%
 

ON_CAMPUS_ENGAGEMENT_COUNT
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
2
1 
ValueCountFrequency (%) 
21100.0%
 
2020-11-02T14:15:59.581684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

MOST_RECENT_ON_CAMPUS_EVENT
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
The University of Colorado Boulder Presents: Outstanding Colorado Student & Educator Award Night 2019
1 
ValueCountFrequency (%) 
The University of Colorado Boulder Presents: Outstanding Colorado Student & Educator Award Night 20191100.0%
 
2020-11-02T14:15:59.685308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

DATE_MOST_RECENT_ON_CAMPUS_EVENT
Date

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Minimum2019-05-03 18:00:00
Maximum2019-05-03 18:00:00
2020-11-02T14:15:59.776409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:15:59.866854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

OFF_CAMPUS_ENGAGEMENT_COUNT
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
1
1 
ValueCountFrequency (%) 
11100.0%
 

DEPOSIT_PAID
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
No
1 
ValueCountFrequency (%) 
No1100.0%
 
2020-11-02T14:15:59.972870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

DEPOSIT_PAID_CREATED_DATE
Date

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Minimum2020-01-21 22:53:36
Maximum2020-01-21 22:53:36
2020-11-02T14:16:00.064018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T14:16:00.154286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

CURRENT_BIN_NAME
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
T - Future Cycle
1 
ValueCountFrequency (%) 
T - Future Cycle1100.0%
 
2020-11-02T14:16:00.259257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

RELATION_SIBLING_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

RELATION_STEP_PARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

RELATION_GRANDPARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Outstanding Colorado Student (by invitation only)
1 
ValueCountFrequency (%) 
Outstanding Colorado Student (by invitation only)1100.0%
 
2020-11-02T14:16:00.363726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_YEARS_LIVED_IN_U_S
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_YEARS_LIVED_OUTSIDE_U_S
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
<1
1 
ValueCountFrequency (%) 
<11100.0%
 
2020-11-02T14:16:00.467483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_BAKER_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_CHANCELLOR_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_DEAN_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_HALE_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_IMPACT_SCHOLARSHIP
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_LEEDS_SCHOLAR_ADMIT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_LEEDS_SCHOLAR_APPLICANT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_MUSIC_SCHOLARSHIP
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_PRESIDENTIAL_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_REGENT_SCHOLARSHIP
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_SEWALL_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_EXCEL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_TUITION_CLASSIFICATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

APPLICATION_ADMITTED_FROM_WAITLIST
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_PRE_COLLEGIATE_RURAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_PRE_COLLEGIATE_WESTERN_SLOPE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
1
1 
ValueCountFrequency (%) 
11100.0%
 

PERSON_DANIEL_S_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

PERSON_ENGINEARME
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1
Missing (%)100.0%
Memory size136.0 B

HS_CITY_LOCATION
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Northglenn
1 
ValueCountFrequency (%) 
Northglenn1100.0%
 
2020-11-02T14:16:00.572902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_TOT_ENROLLMENT
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
2063
1 
ValueCountFrequency (%) 
20631100.0%
 
2020-11-02T14:16:00.677012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_NCES_ID
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
080690001188
1 
ValueCountFrequency (%) 
0806900011881100.0%
 
2020-11-02T14:16:00.781038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_NAME
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Northglenn High School
1 
ValueCountFrequency (%) 
Northglenn High School1100.0%
 
2020-11-02T14:16:00.884483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_TYPE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
1
1 
ValueCountFrequency (%) 
11100.0%
 
2020-11-02T14:16:00.987503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_STATE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
CO
1 
ValueCountFrequency (%) 
CO1100.0%
 
2020-11-02T14:16:01.090996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_TEACHERS_FTE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
94
1 
ValueCountFrequency (%) 
941100.0%
 
2020-11-02T14:16:01.193933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_URBAN_CENTRIC_LOCALE_CODE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
21
1 
ValueCountFrequency (%) 
211100.0%
 
2020-11-02T14:16:01.297921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_ZIP
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
80221
1 
ValueCountFrequency (%) 
802211100.0%
 
2020-11-02T14:16:01.401214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_ADDRESS
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
601 West 100Th Place
1 
ValueCountFrequency (%) 
601 West 100Th Place1100.0%
 
2020-11-02T14:16:01.504429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_TYPE_VALUE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Regular School
1 
ValueCountFrequency (%) 
Regular School1100.0%
 
2020-11-02T14:16:01.607559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_CLASSIFICATION
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
Public
1 
ValueCountFrequency (%) 
Public1100.0%
 
2020-11-02T14:16:01.710801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

HS_CEEB
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 B
060429
1 
ValueCountFrequency (%) 
0604291100.0%
 
2020-11-02T14:16:01.813947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%
]